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Parent(s): f4514c9
chore: sync EEE pipeline output [2026-03-28 04:56 UTC]
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- data/benchmarks/ace.json +120 -0
- data/benchmarks/apex-agents.json +218 -0
- data/benchmarks/apex-v1.json +93 -0
- data/benchmarks/appworld_test_normal.json +28 -0
- data/benchmarks/browsecompplus.json +28 -0
- data/benchmarks/global-mmlu-lite.json +706 -0
- data/benchmarks/helm_capabilities.json +797 -0
- data/benchmarks/helm_classic.json +1478 -0
- data/benchmarks/helm_instruct.json +60 -0
- data/benchmarks/helm_lite.json +1551 -0
- data/benchmarks/helm_mmlu.json +0 -0
- data/benchmarks/hfopenllm_v2.json +0 -0
- data/benchmarks/livecodebenchpro.json +274 -0
- data/benchmarks/reward-bench.json +0 -0
- data/benchmarks/swe-bench.json +28 -0
- data/benchmarks/tau-bench-2_airline.json +28 -0
- data/benchmarks/tau-bench-2_retail.json +28 -0
- data/benchmarks/tau-bench-2_telecom.json +28 -0
- data/benchmarks/terminal-bench-2.0.json +300 -0
- data/developers/0-hero.json +47 -0
- data/developers/01-ai.json +433 -0
- data/developers/1-800-LLMs.json +33 -0
- data/developers/1024m.json +33 -0
- data/developers/152334H.json +19 -0
- data/developers/1TuanPham.json +33 -0
- data/developers/3rd-Degree-Burn.json +61 -0
- data/developers/4season.json +19 -0
- data/developers/AALF.json +61 -0
- data/developers/AELLM.json +33 -0
- data/developers/AGI-0.json +47 -0
- data/developers/AI-MO.json +33 -0
- data/developers/AI-Sweden-Models.json +33 -0
- data/developers/AI4free.json +33 -0
- data/developers/AIDC-AI.json +19 -0
- data/developers/Aashraf995.json +61 -0
- data/developers/AbacusResearch.json +19 -0
- data/developers/Ahdoot.json +33 -0
- data/developers/Ahjeong.json +33 -0
- data/developers/AicoresSecurity.json +61 -0
- data/developers/Alepach.json +47 -0
- data/developers/AlephAlpha.json +59 -0
- data/developers/Alibaba-NLP.json +19 -0
- data/developers/Alibaba.json +58 -0
- data/developers/Alsebay.json +19 -0
- data/developers/Amaorynho.json +61 -0
- data/developers/Amu.json +33 -0
- data/developers/Anthropic.json +129 -0
- data/developers/ArliAI.json +33 -0
- data/developers/Arthur-LAGACHERIE.json +19 -0
- data/developers/Artples.json +33 -0
data/benchmarks/ace.json
ADDED
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{
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"models": [
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{
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"model_id": "anthropic/Opus 4.1",
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"name": "Opus 4.1",
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"developer": "anthropic",
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"scores": {
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"Overall Score": 0.4,
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"Gaming Score": 0.318
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}
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},
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{
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"model_id": "anthropic/Opus 4.5",
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"name": "Opus 4.5",
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"developer": "anthropic",
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"scores": {
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"Overall Score": 0.478,
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"Gaming Score": 0.391
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}
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},
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{
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"model_id": "anthropic/Sonnet 4.5",
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"name": "Sonnet 4.5",
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"developer": "anthropic",
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"scores": {
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"Overall Score": 0.44,
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"Gaming Score": 0.373
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}
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},
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{
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"model_id": "google/Gemini 2.5 Flash",
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"name": "Gemini 2.5 Flash",
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"developer": "google",
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"scores": {
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"Overall Score": 0.38,
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"Gaming Score": 0.284
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}
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},
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{
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"model_id": "google/Gemini 2.5 Pro",
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"name": "Gemini 2.5 Pro",
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"developer": "google",
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"scores": {
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"Overall Score": 0.4,
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"Gaming Score": 0.285
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}
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},
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{
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"model_id": "google/Gemini 3 Flash",
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"name": "Gemini 3 Flash",
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"developer": "google",
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"scores": {
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"Gaming Score": 0.415
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}
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},
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{
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"model_id": "google/Gemini 3 Pro",
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"name": "Gemini 3 Pro",
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"developer": "google",
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"scores": {
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"Overall Score": 0.47,
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"Gaming Score": 0.509
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}
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},
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{
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"model_id": "openai/GPT 5",
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"name": "GPT 5",
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"developer": "openai",
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"scores": {
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"Overall Score": 0.561,
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"DIY Score": 0.55,
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"Food Score": 0.7,
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"Gaming Score": 0.575
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}
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},
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{
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"model_id": "openai/GPT 5.1",
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"name": "GPT 5.1",
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"developer": "openai",
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"scores": {
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"Overall Score": 0.551,
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"DIY Score": 0.56,
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"Gaming Score": 0.61,
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"Shopping Score": 0.45
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}
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},
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{
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"model_id": "openai/GPT 5.2",
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"name": "GPT 5.2",
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"developer": "openai",
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"scores": {
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"Overall Score": 0.515,
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"Food Score": 0.65,
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"Gaming Score": 0.578
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}
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},
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"model_id": "openai/o3",
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"name": "o3",
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"developer": "openai",
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"scores": {
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"Overall Score": 0.529,
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"Gaming Score": 0.585,
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"Shopping Score": 0.45
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}
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},
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{
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"model_id": "openai/o3 Pro",
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"name": "o3 Pro",
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"developer": "openai",
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"scores": {
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"Overall Score": 0.552,
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"DIY Score": 0.54,
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"Food Score": 0.6,
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"Gaming Score": 0.613,
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"Shopping Score": 0.45
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}
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}
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]
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}
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data/benchmarks/apex-agents.json
ADDED
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{
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"models": [
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{
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"model_id": "anthropic/Opus 4.5",
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"name": "Opus 4.5",
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"developer": "anthropic",
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| 7 |
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"scores": {
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| 8 |
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"Overall Pass@1": 0.184,
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| 9 |
+
"Overall Pass@8": 0.34,
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| 10 |
+
"Overall Mean Score": 0.348,
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| 11 |
+
"Investment Banking Pass@1": 0.216,
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| 12 |
+
"Management Consulting Pass@1": 0.132,
|
| 13 |
+
"Corporate Law Pass@1": 0.202,
|
| 14 |
+
"Corporate Lawyer Mean Score": 0.471
|
| 15 |
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}
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| 16 |
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},
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| 17 |
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{
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| 18 |
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"model_id": "anthropic/Opus 4.6",
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| 19 |
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"name": "Opus 4.6",
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| 20 |
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"developer": "anthropic",
|
| 21 |
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"scores": {
|
| 22 |
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"Overall Pass@1": 0.298,
|
| 23 |
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"Corporate Lawyer Mean Score": 0.502
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| 24 |
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}
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| 25 |
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},
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| 26 |
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{
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| 27 |
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"model_id": "applied-compute/Applied Compute: Small",
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| 28 |
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"name": "Applied Compute: Small",
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| 29 |
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"developer": "applied-compute",
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| 30 |
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"scores": {
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| 31 |
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"Overall Pass@1": 0.23,
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| 32 |
+
"Overall Mean Score": 0.401,
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| 33 |
+
"Corporate Law Pass@1": 0.266,
|
| 34 |
+
"Corporate Lawyer Mean Score": 0.548
|
| 35 |
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}
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| 36 |
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},
|
| 37 |
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{
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| 38 |
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"model_id": "google/Gemini 3 Flash",
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| 39 |
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"name": "Gemini 3 Flash",
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| 40 |
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"developer": "google",
|
| 41 |
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"scores": {
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| 42 |
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"Overall Pass@1": 0.24,
|
| 43 |
+
"Overall Pass@8": 0.367,
|
| 44 |
+
"Overall Mean Score": 0.395,
|
| 45 |
+
"Investment Banking Pass@1": 0.267,
|
| 46 |
+
"Management Consulting Pass@1": 0.193,
|
| 47 |
+
"Corporate Law Pass@1": 0.259,
|
| 48 |
+
"Corporate Lawyer Mean Score": 0.524
|
| 49 |
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}
|
| 50 |
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},
|
| 51 |
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{
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| 52 |
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"model_id": "google/Gemini 3 Pro",
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| 53 |
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"name": "Gemini 3 Pro",
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| 54 |
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"developer": "google",
|
| 55 |
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"scores": {
|
| 56 |
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"Overall Pass@1": 0.184,
|
| 57 |
+
"Overall Pass@8": 0.373,
|
| 58 |
+
"Overall Mean Score": 0.341,
|
| 59 |
+
"Investment Banking Pass@1": 0.188,
|
| 60 |
+
"Management Consulting Pass@1": 0.124,
|
| 61 |
+
"Corporate Law Pass@1": 0.239,
|
| 62 |
+
"Corporate Lawyer Mean Score": 0.487
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
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{
|
| 66 |
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"model_id": "google/Gemini 3.1 Pro",
|
| 67 |
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"name": "Gemini 3.1 Pro",
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| 68 |
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"developer": "google",
|
| 69 |
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"scores": {
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| 70 |
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"Overall Pass@1": 0.335,
|
| 71 |
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"Corporate Lawyer Mean Score": 0.494
|
| 72 |
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}
|
| 73 |
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},
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| 74 |
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{
|
| 75 |
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"model_id": "minimax/Minimax-2.5",
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| 76 |
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"name": "Minimax-2.5",
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| 77 |
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"developer": "minimax",
|
| 78 |
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"scores": {
|
| 79 |
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"Corporate Lawyer Mean Score": 0.339
|
| 80 |
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}
|
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},
|
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{
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| 83 |
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"model_id": "moonshot/Kimi K2 Thinking",
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"name": "Kimi K2 Thinking",
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"developer": "moonshot",
|
| 86 |
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"scores": {
|
| 87 |
+
"Overall Pass@1": 0.04,
|
| 88 |
+
"Overall Pass@8": 0.144,
|
| 89 |
+
"Overall Mean Score": 0.115,
|
| 90 |
+
"Investment Banking Pass@1": 0.012,
|
| 91 |
+
"Management Consulting Pass@1": 0.029,
|
| 92 |
+
"Corporate Law Pass@1": 0.08,
|
| 93 |
+
"Corporate Lawyer Mean Score": 0.223
|
| 94 |
+
}
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"model_id": "moonshot/Kimi K2.5",
|
| 98 |
+
"name": "Kimi K2.5",
|
| 99 |
+
"developer": "moonshot",
|
| 100 |
+
"scores": {
|
| 101 |
+
"Corporate Lawyer Mean Score": 0.402
|
| 102 |
+
}
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"model_id": "openai/GPT 5",
|
| 106 |
+
"name": "GPT 5",
|
| 107 |
+
"developer": "openai",
|
| 108 |
+
"scores": {
|
| 109 |
+
"Overall Pass@1": 0.183,
|
| 110 |
+
"Overall Pass@8": 0.31,
|
| 111 |
+
"Overall Mean Score": 0.329,
|
| 112 |
+
"Investment Banking Pass@1": 0.273,
|
| 113 |
+
"Management Consulting Pass@1": 0.123,
|
| 114 |
+
"Corporate Law Pass@1": 0.153,
|
| 115 |
+
"Corporate Lawyer Mean Score": 0.382
|
| 116 |
+
}
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"model_id": "openai/GPT 5 Codex",
|
| 120 |
+
"name": "GPT 5 Codex",
|
| 121 |
+
"developer": "openai",
|
| 122 |
+
"scores": {
|
| 123 |
+
"Corporate Lawyer Mean Score": 0.362
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"model_id": "openai/GPT 5.1",
|
| 128 |
+
"name": "GPT 5.1",
|
| 129 |
+
"developer": "openai",
|
| 130 |
+
"scores": {
|
| 131 |
+
"Corporate Lawyer Mean Score": 0.376
|
| 132 |
+
}
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"model_id": "openai/GPT 5.1 Codex",
|
| 136 |
+
"name": "GPT 5.1 Codex",
|
| 137 |
+
"developer": "openai",
|
| 138 |
+
"scores": {
|
| 139 |
+
"Corporate Lawyer Mean Score": 0.366
|
| 140 |
+
}
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"model_id": "openai/GPT 5.2",
|
| 144 |
+
"name": "GPT 5.2",
|
| 145 |
+
"developer": "openai",
|
| 146 |
+
"scores": {
|
| 147 |
+
"Overall Pass@1": 0.23,
|
| 148 |
+
"Overall Pass@8": 0.4,
|
| 149 |
+
"Overall Mean Score": 0.387,
|
| 150 |
+
"Investment Banking Pass@1": 0.273,
|
| 151 |
+
"Management Consulting Pass@1": 0.227,
|
| 152 |
+
"Corporate Law Pass@1": 0.189,
|
| 153 |
+
"Corporate Lawyer Mean Score": 0.443
|
| 154 |
+
}
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"model_id": "openai/GPT 5.2 Codex",
|
| 158 |
+
"name": "GPT 5.2 Codex",
|
| 159 |
+
"developer": "openai",
|
| 160 |
+
"scores": {
|
| 161 |
+
"Overall Pass@1": 0.276,
|
| 162 |
+
"Corporate Lawyer Mean Score": 0.394
|
| 163 |
+
}
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"model_id": "openai/GPT 5.3 Codex",
|
| 167 |
+
"name": "GPT 5.3 Codex",
|
| 168 |
+
"developer": "openai",
|
| 169 |
+
"scores": {
|
| 170 |
+
"Overall Pass@1": 0.317
|
| 171 |
+
}
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"model_id": "openai/GPT OSS 120B",
|
| 175 |
+
"name": "GPT OSS 120B",
|
| 176 |
+
"developer": "openai",
|
| 177 |
+
"scores": {
|
| 178 |
+
"Overall Pass@1": 0.047,
|
| 179 |
+
"Overall Pass@8": 0.115,
|
| 180 |
+
"Overall Mean Score": 0.145,
|
| 181 |
+
"Investment Banking Pass@1": 0.027,
|
| 182 |
+
"Management Consulting Pass@1": 0.035,
|
| 183 |
+
"Corporate Law Pass@1": 0.078,
|
| 184 |
+
"Corporate Lawyer Mean Score": 0.269
|
| 185 |
+
}
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"model_id": "xai/Grok 4",
|
| 189 |
+
"name": "Grok 4",
|
| 190 |
+
"developer": "xai",
|
| 191 |
+
"scores": {
|
| 192 |
+
"Overall Pass@1": 0.152,
|
| 193 |
+
"Overall Pass@8": 0.329,
|
| 194 |
+
"Overall Mean Score": 0.303,
|
| 195 |
+
"Investment Banking Pass@1": 0.17,
|
| 196 |
+
"Management Consulting Pass@1": 0.12,
|
| 197 |
+
"Corporate Law Pass@1": 0.165,
|
| 198 |
+
"Corporate Lawyer Mean Score": 0.41
|
| 199 |
+
}
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"model_id": "zhipu/GLM 4.6",
|
| 203 |
+
"name": "GLM 4.6",
|
| 204 |
+
"developer": "zhipu",
|
| 205 |
+
"scores": {
|
| 206 |
+
"Corporate Lawyer Mean Score": 0.196
|
| 207 |
+
}
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"model_id": "zhipu/GLM 4.7",
|
| 211 |
+
"name": "GLM 4.7",
|
| 212 |
+
"developer": "zhipu",
|
| 213 |
+
"scores": {
|
| 214 |
+
"Corporate Lawyer Mean Score": 0.147
|
| 215 |
+
}
|
| 216 |
+
}
|
| 217 |
+
]
|
| 218 |
+
}
|
data/benchmarks/apex-v1.json
ADDED
|
@@ -0,0 +1,93 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/Opus 4.5",
|
| 5 |
+
"name": "Opus 4.5",
|
| 6 |
+
"developer": "anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"Medicine (MD) Score": 0.65
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/Gemini 2.5 Flash",
|
| 13 |
+
"name": "Gemini 2.5 Flash",
|
| 14 |
+
"developer": "google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"Overall Score": 0.604
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "google/Gemini 3 Flash",
|
| 21 |
+
"name": "Gemini 3 Flash",
|
| 22 |
+
"developer": "google",
|
| 23 |
+
"scores": {
|
| 24 |
+
"Overall Score": 0.64,
|
| 25 |
+
"Consulting Score": 0.64
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"model_id": "google/Gemini 3 Pro",
|
| 30 |
+
"name": "Gemini 3 Pro",
|
| 31 |
+
"developer": "google",
|
| 32 |
+
"scores": {
|
| 33 |
+
"Overall Score": 0.643,
|
| 34 |
+
"Consulting Score": 0.64,
|
| 35 |
+
"Investment Banking Score": 0.63
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"model_id": "openai/GPT 4o",
|
| 40 |
+
"name": "GPT 4o",
|
| 41 |
+
"developer": "openai",
|
| 42 |
+
"scores": {
|
| 43 |
+
"Overall Score": 0.359
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"model_id": "openai/GPT 5",
|
| 48 |
+
"name": "GPT 5",
|
| 49 |
+
"developer": "openai",
|
| 50 |
+
"scores": {
|
| 51 |
+
"Overall Score": 0.67,
|
| 52 |
+
"Big Law Score": 0.78,
|
| 53 |
+
"Medicine (MD) Score": 0.66,
|
| 54 |
+
"Investment Banking Score": 0.61
|
| 55 |
+
}
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"model_id": "openai/GPT 5.1",
|
| 59 |
+
"name": "GPT 5.1",
|
| 60 |
+
"developer": "openai",
|
| 61 |
+
"scores": {
|
| 62 |
+
"Big Law Score": 0.77
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"model_id": "openai/GPT 5.2 Pro",
|
| 67 |
+
"name": "GPT 5.2 Pro",
|
| 68 |
+
"developer": "openai",
|
| 69 |
+
"scores": {
|
| 70 |
+
"Overall Score": 0.668,
|
| 71 |
+
"Consulting Score": 0.64,
|
| 72 |
+
"Medicine (MD) Score": 0.65,
|
| 73 |
+
"Investment Banking Score": 0.64
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"model_id": "openai/o3",
|
| 78 |
+
"name": "o3",
|
| 79 |
+
"developer": "openai",
|
| 80 |
+
"scores": {
|
| 81 |
+
"Big Law Score": 0.76
|
| 82 |
+
}
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"model_id": "xai/Grok 4",
|
| 86 |
+
"name": "Grok 4",
|
| 87 |
+
"developer": "xai",
|
| 88 |
+
"scores": {
|
| 89 |
+
"Overall Score": 0.635
|
| 90 |
+
}
|
| 91 |
+
}
|
| 92 |
+
]
|
| 93 |
+
}
|
data/benchmarks/appworld_test_normal.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"appworld/test_normal": 0.7
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"appworld/test_normal": 0.36
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"appworld/test_normal": 0.0
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/browsecompplus.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"browsecompplus": 0.61
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"browsecompplus": 0.57
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"browsecompplus": 0.46
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/global-mmlu-lite.json
ADDED
|
@@ -0,0 +1,706 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "alibaba/qwen3-235b-a22b-instruct-2507",
|
| 5 |
+
"name": "qwen3-235b-a22b-instruct-2507",
|
| 6 |
+
"developer": "alibaba",
|
| 7 |
+
"scores": {
|
| 8 |
+
"Global MMLU Lite": 0.8798,
|
| 9 |
+
"Culturally Sensitive": 0.8522,
|
| 10 |
+
"Culturally Agnostic": 0.9075,
|
| 11 |
+
"Arabic": 0.88,
|
| 12 |
+
"English": 0.89,
|
| 13 |
+
"Bengali": 0.8875,
|
| 14 |
+
"German": 0.885,
|
| 15 |
+
"French": 0.88,
|
| 16 |
+
"Hindi": 0.8775,
|
| 17 |
+
"Indonesian": 0.88,
|
| 18 |
+
"Italian": 0.88,
|
| 19 |
+
"Japanese": 0.88,
|
| 20 |
+
"Korean": 0.875,
|
| 21 |
+
"Portuguese": 0.8875,
|
| 22 |
+
"Spanish": 0.875,
|
| 23 |
+
"Swahili": 0.87,
|
| 24 |
+
"Yoruba": 0.8725,
|
| 25 |
+
"Chinese": 0.8775,
|
| 26 |
+
"Burmese": 0.88
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"model_id": "anthropic/claude-3-5-haiku-20241022",
|
| 31 |
+
"name": "claude-3-5-haiku-20241022",
|
| 32 |
+
"developer": "anthropic",
|
| 33 |
+
"scores": {
|
| 34 |
+
"Global MMLU Lite": 0.6114,
|
| 35 |
+
"Culturally Sensitive": 0.5834,
|
| 36 |
+
"Culturally Agnostic": 0.6394,
|
| 37 |
+
"Arabic": 0.695,
|
| 38 |
+
"English": 0.485,
|
| 39 |
+
"Bengali": 0.675,
|
| 40 |
+
"German": 0.565,
|
| 41 |
+
"French": 0.61,
|
| 42 |
+
"Hindi": 0.6575,
|
| 43 |
+
"Indonesian": 0.5475,
|
| 44 |
+
"Italian": 0.48,
|
| 45 |
+
"Japanese": 0.655,
|
| 46 |
+
"Korean": 0.6575,
|
| 47 |
+
"Portuguese": 0.5225,
|
| 48 |
+
"Spanish": 0.485,
|
| 49 |
+
"Swahili": 0.69,
|
| 50 |
+
"Yoruba": 0.6675,
|
| 51 |
+
"Chinese": 0.69,
|
| 52 |
+
"Burmese": 0.7
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"model_id": "anthropic/claude-3-7-sonnet-20250219",
|
| 57 |
+
"name": "claude-3-7-sonnet-20250219",
|
| 58 |
+
"developer": "anthropic",
|
| 59 |
+
"scores": {
|
| 60 |
+
"Global MMLU Lite": 0.8078,
|
| 61 |
+
"Culturally Sensitive": 0.7794,
|
| 62 |
+
"Culturally Agnostic": 0.8362,
|
| 63 |
+
"Arabic": 0.7925,
|
| 64 |
+
"English": 0.7625,
|
| 65 |
+
"Bengali": 0.825,
|
| 66 |
+
"German": 0.8125,
|
| 67 |
+
"French": 0.7675,
|
| 68 |
+
"Hindi": 0.805,
|
| 69 |
+
"Indonesian": 0.8175,
|
| 70 |
+
"Italian": 0.8225,
|
| 71 |
+
"Japanese": 0.8425,
|
| 72 |
+
"Korean": 0.83,
|
| 73 |
+
"Portuguese": 0.77,
|
| 74 |
+
"Spanish": 0.8075,
|
| 75 |
+
"Swahili": 0.8125,
|
| 76 |
+
"Yoruba": 0.81,
|
| 77 |
+
"Chinese": 0.835,
|
| 78 |
+
"Burmese": 0.8125
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"model_id": "anthropic/claude-opus-4-1-20250805",
|
| 83 |
+
"name": "claude-opus-4-1-20250805",
|
| 84 |
+
"developer": "anthropic",
|
| 85 |
+
"scores": {
|
| 86 |
+
"Global MMLU Lite": 0.943,
|
| 87 |
+
"Culturally Sensitive": 0.9331,
|
| 88 |
+
"Culturally Agnostic": 0.9528,
|
| 89 |
+
"Arabic": 0.945,
|
| 90 |
+
"English": 0.9475,
|
| 91 |
+
"Bengali": 0.9425,
|
| 92 |
+
"German": 0.94,
|
| 93 |
+
"French": 0.945,
|
| 94 |
+
"Hindi": 0.9475,
|
| 95 |
+
"Indonesian": 0.9425,
|
| 96 |
+
"Italian": 0.94,
|
| 97 |
+
"Japanese": 0.94,
|
| 98 |
+
"Korean": 0.95,
|
| 99 |
+
"Portuguese": 0.945,
|
| 100 |
+
"Spanish": 0.945,
|
| 101 |
+
"Swahili": 0.93,
|
| 102 |
+
"Yoruba": 0.9375,
|
| 103 |
+
"Chinese": 0.945,
|
| 104 |
+
"Burmese": 0.945
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"model_id": "anthropic/claude-sonnet-4-20250514",
|
| 109 |
+
"name": "claude-sonnet-4-20250514",
|
| 110 |
+
"developer": "anthropic",
|
| 111 |
+
"scores": {
|
| 112 |
+
"Global MMLU Lite": 0.9058,
|
| 113 |
+
"Culturally Sensitive": 0.8913,
|
| 114 |
+
"Culturally Agnostic": 0.9203,
|
| 115 |
+
"Arabic": 0.9125,
|
| 116 |
+
"English": 0.905,
|
| 117 |
+
"Bengali": 0.9075,
|
| 118 |
+
"German": 0.9125,
|
| 119 |
+
"French": 0.91,
|
| 120 |
+
"Hindi": 0.9,
|
| 121 |
+
"Indonesian": 0.9025,
|
| 122 |
+
"Italian": 0.9075,
|
| 123 |
+
"Japanese": 0.9,
|
| 124 |
+
"Korean": 0.9125,
|
| 125 |
+
"Portuguese": 0.91,
|
| 126 |
+
"Spanish": 0.9075,
|
| 127 |
+
"Swahili": 0.8975,
|
| 128 |
+
"Yoruba": 0.8975,
|
| 129 |
+
"Chinese": 0.9175,
|
| 130 |
+
"Burmese": 0.8925
|
| 131 |
+
}
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"model_id": "cohere/aya-expanse-32b",
|
| 135 |
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| 136 |
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|
| 137 |
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|
| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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|
| 157 |
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}
|
| 158 |
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},
|
| 159 |
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{
|
| 160 |
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"model_id": "cohere/command-a-03-2025",
|
| 161 |
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"name": "command-a-03-2025",
|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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| 177 |
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| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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}
|
| 184 |
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},
|
| 185 |
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{
|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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|
| 198 |
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|
| 199 |
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| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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| 207 |
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|
| 208 |
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| 209 |
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}
|
| 210 |
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},
|
| 211 |
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{
|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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|
| 225 |
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| 226 |
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| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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| 231 |
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| 232 |
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|
| 233 |
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|
| 234 |
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| 235 |
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}
|
| 236 |
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},
|
| 237 |
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{
|
| 238 |
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"model_id": "google/gemini-2.5-flash",
|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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| 248 |
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| 249 |
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| 250 |
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| 251 |
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"Indonesian": 0.9075,
|
| 252 |
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| 253 |
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| 254 |
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|
| 255 |
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"Portuguese": 0.9125,
|
| 256 |
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|
| 257 |
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| 258 |
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| 259 |
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|
| 260 |
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| 261 |
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}
|
| 262 |
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},
|
| 263 |
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{
|
| 264 |
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"model_id": "google/gemini-2.5-flash-preview-05-20",
|
| 265 |
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"name": "gemini-2.5-flash-preview-05-20",
|
| 266 |
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"developer": "google",
|
| 267 |
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|
| 268 |
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| 269 |
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| 270 |
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| 271 |
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| 272 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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"Indonesian": 0.9075,
|
| 278 |
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"Italian": 0.89,
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| 279 |
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"Japanese": 0.9125,
|
| 280 |
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| 281 |
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"Portuguese": 0.915,
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| 282 |
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| 283 |
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| 284 |
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| 285 |
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"Chinese": 0.93,
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| 286 |
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| 287 |
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}
|
| 288 |
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},
|
| 289 |
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{
|
| 290 |
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"model_id": "google/gemini-2.5-pro",
|
| 291 |
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"name": "gemini-2.5-pro",
|
| 292 |
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|
| 293 |
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|
| 294 |
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| 295 |
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| 296 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 302 |
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|
| 303 |
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| 304 |
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"Italian": 0.935,
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| 305 |
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| 306 |
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| 307 |
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| 308 |
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| 309 |
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| 310 |
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| 311 |
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| 312 |
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| 313 |
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}
|
| 314 |
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},
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| 315 |
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{
|
| 316 |
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"model_id": "google/gemini-3-pro-preview",
|
| 317 |
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"name": "gemini-3-pro-preview",
|
| 318 |
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| 319 |
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|
| 320 |
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| 321 |
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| 322 |
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| 323 |
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| 324 |
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| 325 |
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| 326 |
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| 327 |
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|
| 328 |
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|
| 329 |
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"Indonesian": 0.955,
|
| 330 |
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"Italian": 0.955,
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| 331 |
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| 332 |
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"Korean": 0.94,
|
| 333 |
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"Portuguese": 0.9425,
|
| 334 |
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|
| 335 |
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| 336 |
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|
| 337 |
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"Chinese": 0.9475,
|
| 338 |
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|
| 339 |
+
}
|
| 340 |
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},
|
| 341 |
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{
|
| 342 |
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"model_id": "google/gemma-3-27b-it",
|
| 343 |
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"name": "gemma-3-27b-it",
|
| 344 |
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"developer": "google",
|
| 345 |
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"scores": {
|
| 346 |
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|
| 347 |
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"Culturally Sensitive": 0.7528,
|
| 348 |
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"Culturally Agnostic": 0.7733,
|
| 349 |
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|
| 350 |
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|
| 351 |
+
"Bengali": 0.75,
|
| 352 |
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"German": 0.775,
|
| 353 |
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"French": 0.7481,
|
| 354 |
+
"Hindi": 0.7335,
|
| 355 |
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"Indonesian": 0.7563,
|
| 356 |
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"Italian": 0.75,
|
| 357 |
+
"Japanese": 0.7925,
|
| 358 |
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"Korean": 0.798,
|
| 359 |
+
"Portuguese": 0.7481,
|
| 360 |
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"Spanish": 0.7494,
|
| 361 |
+
"Swahili": 0.785,
|
| 362 |
+
"Yoruba": 0.7444,
|
| 363 |
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"Chinese": 0.7925,
|
| 364 |
+
"Burmese": 0.7719
|
| 365 |
+
}
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"model_id": "google/gemma-3-4b-it",
|
| 369 |
+
"name": "gemma-3-4b-it",
|
| 370 |
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"developer": "google",
|
| 371 |
+
"scores": {
|
| 372 |
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"Global MMLU Lite": 0.6511,
|
| 373 |
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"Culturally Sensitive": 0.6116,
|
| 374 |
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"Culturally Agnostic": 0.6906,
|
| 375 |
+
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|
| 376 |
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"English": 0.67,
|
| 377 |
+
"Bengali": 0.68,
|
| 378 |
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"German": 0.6525,
|
| 379 |
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"French": 0.6575,
|
| 380 |
+
"Hindi": 0.6475,
|
| 381 |
+
"Indonesian": 0.6775,
|
| 382 |
+
"Italian": 0.6675,
|
| 383 |
+
"Japanese": 0.6325,
|
| 384 |
+
"Korean": 0.66,
|
| 385 |
+
"Portuguese": 0.68,
|
| 386 |
+
"Spanish": 0.6725,
|
| 387 |
+
"Swahili": 0.6075,
|
| 388 |
+
"Yoruba": 0.5825,
|
| 389 |
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"Chinese": 0.6475,
|
| 390 |
+
"Burmese": 0.63
|
| 391 |
+
}
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"model_id": "ibm/granite-4.0-h-small",
|
| 395 |
+
"name": "granite-4.0-h-small",
|
| 396 |
+
"developer": "ibm",
|
| 397 |
+
"scores": {
|
| 398 |
+
"Global MMLU Lite": 0.7503,
|
| 399 |
+
"Culturally Sensitive": 0.7182,
|
| 400 |
+
"Culturally Agnostic": 0.7826,
|
| 401 |
+
"Arabic": 0.7613,
|
| 402 |
+
"English": 0.77,
|
| 403 |
+
"Bengali": 0.7613,
|
| 404 |
+
"German": 0.755,
|
| 405 |
+
"French": 0.7594,
|
| 406 |
+
"Hindi": 0.7575,
|
| 407 |
+
"Indonesian": 0.7614,
|
| 408 |
+
"Italian": 0.7525,
|
| 409 |
+
"Japanese": 0.7406,
|
| 410 |
+
"Korean": 0.7525,
|
| 411 |
+
"Portuguese": 0.757,
|
| 412 |
+
"Spanish": 0.7638,
|
| 413 |
+
"Swahili": 0.7318,
|
| 414 |
+
"Yoruba": 0.6921,
|
| 415 |
+
"Chinese": 0.7475,
|
| 416 |
+
"Burmese": 0.7419
|
| 417 |
+
}
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"model_id": "mistralai/mistral-medium-3",
|
| 421 |
+
"name": "mistral-medium-3",
|
| 422 |
+
"developer": "mistralai",
|
| 423 |
+
"scores": {
|
| 424 |
+
"Global MMLU Lite": 0.5511,
|
| 425 |
+
"Culturally Sensitive": 0.5391,
|
| 426 |
+
"Culturally Agnostic": 0.5631,
|
| 427 |
+
"Arabic": 0.455,
|
| 428 |
+
"English": 0.38,
|
| 429 |
+
"Bengali": 0.5175,
|
| 430 |
+
"German": 0.4775,
|
| 431 |
+
"French": 0.41,
|
| 432 |
+
"Hindi": 0.555,
|
| 433 |
+
"Indonesian": 0.515,
|
| 434 |
+
"Italian": 0.535,
|
| 435 |
+
"Japanese": 0.58,
|
| 436 |
+
"Korean": 0.595,
|
| 437 |
+
"Portuguese": 0.5175,
|
| 438 |
+
"Spanish": 0.5375,
|
| 439 |
+
"Swahili": 0.7075,
|
| 440 |
+
"Yoruba": 0.7675,
|
| 441 |
+
"Chinese": 0.535,
|
| 442 |
+
"Burmese": 0.7325
|
| 443 |
+
}
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"model_id": "mistralai/mistral-small-2503",
|
| 447 |
+
"name": "mistral-small-2503",
|
| 448 |
+
"developer": "mistralai",
|
| 449 |
+
"scores": {
|
| 450 |
+
"Global MMLU Lite": 0.7852,
|
| 451 |
+
"Culturally Sensitive": 0.7537,
|
| 452 |
+
"Culturally Agnostic": 0.8166,
|
| 453 |
+
"Arabic": 0.7875,
|
| 454 |
+
"English": 0.8,
|
| 455 |
+
"Bengali": 0.7725,
|
| 456 |
+
"German": 0.7975,
|
| 457 |
+
"French": 0.8,
|
| 458 |
+
"Hindi": 0.795,
|
| 459 |
+
"Indonesian": 0.785,
|
| 460 |
+
"Italian": 0.805,
|
| 461 |
+
"Japanese": 0.77,
|
| 462 |
+
"Korean": 0.79,
|
| 463 |
+
"Portuguese": 0.7925,
|
| 464 |
+
"Spanish": 0.7825,
|
| 465 |
+
"Swahili": 0.775,
|
| 466 |
+
"Yoruba": 0.735,
|
| 467 |
+
"Chinese": 0.7925,
|
| 468 |
+
"Burmese": 0.7825
|
| 469 |
+
}
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"model_id": "openai/gpt-4.1-2025-04-14",
|
| 473 |
+
"name": "gpt-4.1-2025-04-14",
|
| 474 |
+
"developer": "openai",
|
| 475 |
+
"scores": {
|
| 476 |
+
"Global MMLU Lite": 0.8755,
|
| 477 |
+
"Culturally Sensitive": 0.8541,
|
| 478 |
+
"Culturally Agnostic": 0.8969,
|
| 479 |
+
"Arabic": 0.88,
|
| 480 |
+
"English": 0.8825,
|
| 481 |
+
"Bengali": 0.8625,
|
| 482 |
+
"German": 0.875,
|
| 483 |
+
"French": 0.8875,
|
| 484 |
+
"Hindi": 0.8775,
|
| 485 |
+
"Indonesian": 0.885,
|
| 486 |
+
"Italian": 0.88,
|
| 487 |
+
"Japanese": 0.8725,
|
| 488 |
+
"Korean": 0.87,
|
| 489 |
+
"Portuguese": 0.875,
|
| 490 |
+
"Spanish": 0.885,
|
| 491 |
+
"Swahili": 0.8725,
|
| 492 |
+
"Yoruba": 0.875,
|
| 493 |
+
"Chinese": 0.87,
|
| 494 |
+
"Burmese": 0.8575
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"model_id": "openai/gpt-5-2025-08-07",
|
| 499 |
+
"name": "gpt-5-2025-08-07",
|
| 500 |
+
"developer": "openai",
|
| 501 |
+
"scores": {
|
| 502 |
+
"Global MMLU Lite": 0.8895,
|
| 503 |
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"Culturally Sensitive": 0.8913,
|
| 504 |
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"Culturally Agnostic": 0.8878,
|
| 505 |
+
"Arabic": 0.8925,
|
| 506 |
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"English": 0.8725,
|
| 507 |
+
"Bengali": 0.9,
|
| 508 |
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"German": 0.91,
|
| 509 |
+
"French": 0.9075,
|
| 510 |
+
"Hindi": 0.865,
|
| 511 |
+
"Indonesian": 0.795,
|
| 512 |
+
"Italian": 0.9075,
|
| 513 |
+
"Japanese": 0.8875,
|
| 514 |
+
"Korean": 0.915,
|
| 515 |
+
"Portuguese": 0.8875,
|
| 516 |
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| 517 |
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| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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}
|
| 522 |
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},
|
| 523 |
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{
|
| 524 |
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"model_id": "openai/o3-mini-2025-01-31",
|
| 525 |
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"name": "o3-mini-2025-01-31",
|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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| 531 |
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| 532 |
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| 533 |
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| 534 |
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| 535 |
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| 536 |
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|
| 537 |
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|
| 538 |
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|
| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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|
| 548 |
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|
| 549 |
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{
|
| 550 |
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|
| 551 |
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"name": "o4-mini-2025-04-16",
|
| 552 |
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|
| 553 |
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|
| 554 |
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| 562 |
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| 563 |
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|
| 564 |
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|
| 565 |
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|
| 566 |
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|
| 567 |
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| 568 |
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|
| 569 |
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| 570 |
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|
| 571 |
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|
| 572 |
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|
| 573 |
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}
|
| 574 |
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},
|
| 575 |
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{
|
| 576 |
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"model_id": "unknown/aya-expanse-32b",
|
| 577 |
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"name": "aya-expanse-32b",
|
| 578 |
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"developer": "unknown",
|
| 579 |
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"scores": {
|
| 580 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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| 584 |
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| 585 |
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|
| 586 |
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| 587 |
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"French": 0.7325,
|
| 588 |
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|
| 589 |
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| 590 |
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"Italian": 0.7305,
|
| 591 |
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"Japanese": 0.7419,
|
| 592 |
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"Korean": 0.7525,
|
| 593 |
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"Portuguese": 0.7544,
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| 594 |
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"Spanish": 0.7362,
|
| 595 |
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| 596 |
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| 597 |
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"Chinese": 0.743,
|
| 598 |
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|
| 599 |
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}
|
| 600 |
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},
|
| 601 |
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{
|
| 602 |
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"model_id": "unknown/granite-4.0-h-small",
|
| 603 |
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"name": "granite-4.0-h-small",
|
| 604 |
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|
| 605 |
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"scores": {
|
| 606 |
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|
| 607 |
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| 608 |
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| 610 |
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| 611 |
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|
| 612 |
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|
| 615 |
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| 616 |
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| 618 |
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| 619 |
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| 622 |
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| 623 |
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| 624 |
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|
| 625 |
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| 626 |
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|
| 627 |
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{
|
| 628 |
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"model_id": "unknown/o4-mini-2025-04-16",
|
| 629 |
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"name": "o4-mini-2025-04-16",
|
| 630 |
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|
| 631 |
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"scores": {
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| 632 |
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| 633 |
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| 634 |
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| 640 |
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| 641 |
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| 642 |
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| 643 |
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"Japanese": 0.885,
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| 644 |
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"Korean": 0.88,
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| 645 |
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"Portuguese": 0.88,
|
| 646 |
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|
| 647 |
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| 648 |
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|
| 649 |
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|
| 650 |
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"Burmese": 0.8725
|
| 651 |
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}
|
| 652 |
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|
| 653 |
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{
|
| 654 |
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|
| 655 |
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"name": "grok-3-mini",
|
| 656 |
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"developer": "xai",
|
| 657 |
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"scores": {
|
| 658 |
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|
| 659 |
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| 660 |
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| 661 |
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| 662 |
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| 663 |
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|
| 664 |
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| 665 |
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"French": 0.485,
|
| 666 |
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"Hindi": 0.56,
|
| 667 |
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"Indonesian": 0.725,
|
| 668 |
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"Italian": 0.696,
|
| 669 |
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"Japanese": 0.6575,
|
| 670 |
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"Korean": 0.7325,
|
| 671 |
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"Portuguese": 0.6275,
|
| 672 |
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"Spanish": 0.61,
|
| 673 |
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"Swahili": 0.7625,
|
| 674 |
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"Yoruba": 0.8296,
|
| 675 |
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"Chinese": 0.5564,
|
| 676 |
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"Burmese": 0.8693
|
| 677 |
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}
|
| 678 |
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},
|
| 679 |
+
{
|
| 680 |
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"model_id": "xai/grok-4-0709",
|
| 681 |
+
"name": "grok-4-0709",
|
| 682 |
+
"developer": "xai",
|
| 683 |
+
"scores": {
|
| 684 |
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"Global MMLU Lite": 0.8881,
|
| 685 |
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"Culturally Sensitive": 0.8862,
|
| 686 |
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"Culturally Agnostic": 0.89,
|
| 687 |
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|
| 688 |
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"English": 0.905,
|
| 689 |
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"Bengali": 0.8925,
|
| 690 |
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"German": 0.8725,
|
| 691 |
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"French": 0.875,
|
| 692 |
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"Hindi": 0.8675,
|
| 693 |
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"Indonesian": 0.89,
|
| 694 |
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"Italian": 0.9025,
|
| 695 |
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"Japanese": 0.87,
|
| 696 |
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"Korean": 0.895,
|
| 697 |
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"Portuguese": 0.8725,
|
| 698 |
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"Spanish": 0.9075,
|
| 699 |
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"Swahili": 0.91,
|
| 700 |
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"Yoruba": 0.905,
|
| 701 |
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"Chinese": 0.8525,
|
| 702 |
+
"Burmese": 0.9075
|
| 703 |
+
}
|
| 704 |
+
}
|
| 705 |
+
]
|
| 706 |
+
}
|
data/benchmarks/helm_capabilities.json
ADDED
|
@@ -0,0 +1,797 @@
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|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "allenai/olmo-2-0325-32b-instruct",
|
| 5 |
+
"name": "OLMo 2 32B Instruct March 2025",
|
| 6 |
+
"developer": "allenai",
|
| 7 |
+
"scores": {
|
| 8 |
+
"Mean score": 0.475,
|
| 9 |
+
"MMLU-Pro": 0.414,
|
| 10 |
+
"GPQA": 0.287,
|
| 11 |
+
"IFEval": 0.78,
|
| 12 |
+
"WildBench": 0.734,
|
| 13 |
+
"Omni-MATH": 0.161
|
| 14 |
+
}
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"model_id": "allenai/olmo-2-1124-13b-instruct",
|
| 18 |
+
"name": "OLMo 2 13B Instruct November 2024",
|
| 19 |
+
"developer": "allenai",
|
| 20 |
+
"scores": {
|
| 21 |
+
"Mean score": 0.44,
|
| 22 |
+
"MMLU-Pro": 0.31,
|
| 23 |
+
"GPQA": 0.316,
|
| 24 |
+
"IFEval": 0.73,
|
| 25 |
+
"WildBench": 0.689,
|
| 26 |
+
"Omni-MATH": 0.156
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"model_id": "allenai/olmo-2-1124-7b-instruct",
|
| 31 |
+
"name": "OLMo 2 7B Instruct November 2024",
|
| 32 |
+
"developer": "allenai",
|
| 33 |
+
"scores": {
|
| 34 |
+
"Mean score": 0.405,
|
| 35 |
+
"MMLU-Pro": 0.292,
|
| 36 |
+
"GPQA": 0.296,
|
| 37 |
+
"IFEval": 0.693,
|
| 38 |
+
"WildBench": 0.628,
|
| 39 |
+
"Omni-MATH": 0.116
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"model_id": "allenai/olmoe-1b-7b-0125-instruct",
|
| 44 |
+
"name": "OLMoE 1B-7B Instruct January 2025",
|
| 45 |
+
"developer": "allenai",
|
| 46 |
+
"scores": {
|
| 47 |
+
"Mean score": 0.332,
|
| 48 |
+
"MMLU-Pro": 0.169,
|
| 49 |
+
"GPQA": 0.22,
|
| 50 |
+
"IFEval": 0.628,
|
| 51 |
+
"WildBench": 0.551,
|
| 52 |
+
"Omni-MATH": 0.093
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"model_id": "amazon/nova-lite-v1:0",
|
| 57 |
+
"name": "Amazon Nova Lite",
|
| 58 |
+
"developer": "amazon",
|
| 59 |
+
"scores": {
|
| 60 |
+
"Mean score": 0.551,
|
| 61 |
+
"MMLU-Pro": 0.6,
|
| 62 |
+
"GPQA": 0.397,
|
| 63 |
+
"IFEval": 0.776,
|
| 64 |
+
"WildBench": 0.75,
|
| 65 |
+
"Omni-MATH": 0.233
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"model_id": "amazon/nova-micro-v1:0",
|
| 70 |
+
"name": "Amazon Nova Micro",
|
| 71 |
+
"developer": "amazon",
|
| 72 |
+
"scores": {
|
| 73 |
+
"Mean score": 0.522,
|
| 74 |
+
"MMLU-Pro": 0.511,
|
| 75 |
+
"GPQA": 0.383,
|
| 76 |
+
"IFEval": 0.76,
|
| 77 |
+
"WildBench": 0.743,
|
| 78 |
+
"Omni-MATH": 0.214
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"model_id": "amazon/nova-premier-v1:0",
|
| 83 |
+
"name": "Amazon Nova Premier",
|
| 84 |
+
"developer": "amazon",
|
| 85 |
+
"scores": {
|
| 86 |
+
"Mean score": 0.637,
|
| 87 |
+
"MMLU-Pro": 0.726,
|
| 88 |
+
"GPQA": 0.518,
|
| 89 |
+
"IFEval": 0.803,
|
| 90 |
+
"WildBench": 0.788,
|
| 91 |
+
"Omni-MATH": 0.35
|
| 92 |
+
}
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"model_id": "amazon/nova-pro-v1:0",
|
| 96 |
+
"name": "Amazon Nova Pro",
|
| 97 |
+
"developer": "amazon",
|
| 98 |
+
"scores": {
|
| 99 |
+
"Mean score": 0.591,
|
| 100 |
+
"MMLU-Pro": 0.673,
|
| 101 |
+
"GPQA": 0.446,
|
| 102 |
+
"IFEval": 0.815,
|
| 103 |
+
"WildBench": 0.777,
|
| 104 |
+
"Omni-MATH": 0.242
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"model_id": "anthropic/claude-3-5-haiku-20241022",
|
| 109 |
+
"name": "claude-3-5-haiku-20241022",
|
| 110 |
+
"developer": "anthropic",
|
| 111 |
+
"scores": {
|
| 112 |
+
"Mean score": 0.549,
|
| 113 |
+
"MMLU-Pro": 0.605,
|
| 114 |
+
"GPQA": 0.363,
|
| 115 |
+
"IFEval": 0.792,
|
| 116 |
+
"WildBench": 0.76,
|
| 117 |
+
"Omni-MATH": 0.224
|
| 118 |
+
}
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"model_id": "anthropic/claude-3-5-sonnet-20241022",
|
| 122 |
+
"name": "Claude 3.5 Sonnet 20241022",
|
| 123 |
+
"developer": "anthropic",
|
| 124 |
+
"scores": {
|
| 125 |
+
"Mean score": 0.653,
|
| 126 |
+
"MMLU-Pro": 0.777,
|
| 127 |
+
"GPQA": 0.565,
|
| 128 |
+
"IFEval": 0.856,
|
| 129 |
+
"WildBench": 0.792,
|
| 130 |
+
"Omni-MATH": 0.276
|
| 131 |
+
}
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"model_id": "anthropic/claude-3-7-sonnet-20250219",
|
| 135 |
+
"name": "claude-3-7-sonnet-20250219",
|
| 136 |
+
"developer": "anthropic",
|
| 137 |
+
"scores": {
|
| 138 |
+
"Mean score": 0.674,
|
| 139 |
+
"MMLU-Pro": 0.784,
|
| 140 |
+
"GPQA": 0.608,
|
| 141 |
+
"IFEval": 0.834,
|
| 142 |
+
"WildBench": 0.814,
|
| 143 |
+
"Omni-MATH": 0.33
|
| 144 |
+
}
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"model_id": "anthropic/claude-opus-4-20250514",
|
| 148 |
+
"name": "Claude 4 Opus 20250514",
|
| 149 |
+
"developer": "anthropic",
|
| 150 |
+
"scores": {
|
| 151 |
+
"Mean score": 0.757,
|
| 152 |
+
"MMLU-Pro": 0.859,
|
| 153 |
+
"GPQA": 0.666,
|
| 154 |
+
"IFEval": 0.918,
|
| 155 |
+
"WildBench": 0.833,
|
| 156 |
+
"Omni-MATH": 0.511
|
| 157 |
+
}
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"model_id": "anthropic/claude-opus-4-20250514-thinking-10k",
|
| 161 |
+
"name": "Claude 4 Opus 20250514, extended thinking",
|
| 162 |
+
"developer": "anthropic",
|
| 163 |
+
"scores": {
|
| 164 |
+
"Mean score": 0.78,
|
| 165 |
+
"MMLU-Pro": 0.875,
|
| 166 |
+
"GPQA": 0.709,
|
| 167 |
+
"IFEval": 0.849,
|
| 168 |
+
"WildBench": 0.852,
|
| 169 |
+
"Omni-MATH": 0.616
|
| 170 |
+
}
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"model_id": "anthropic/claude-sonnet-4-20250514",
|
| 174 |
+
"name": "claude-sonnet-4-20250514",
|
| 175 |
+
"developer": "anthropic",
|
| 176 |
+
"scores": {
|
| 177 |
+
"Mean score": 0.733,
|
| 178 |
+
"MMLU-Pro": 0.843,
|
| 179 |
+
"GPQA": 0.643,
|
| 180 |
+
"IFEval": 0.839,
|
| 181 |
+
"WildBench": 0.825,
|
| 182 |
+
"Omni-MATH": 0.512
|
| 183 |
+
}
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"model_id": "anthropic/claude-sonnet-4-20250514-thinking-10k",
|
| 187 |
+
"name": "Claude 4 Sonnet 20250514, extended thinking",
|
| 188 |
+
"developer": "anthropic",
|
| 189 |
+
"scores": {
|
| 190 |
+
"Mean score": 0.766,
|
| 191 |
+
"MMLU-Pro": 0.843,
|
| 192 |
+
"GPQA": 0.706,
|
| 193 |
+
"IFEval": 0.84,
|
| 194 |
+
"WildBench": 0.838,
|
| 195 |
+
"Omni-MATH": 0.602
|
| 196 |
+
}
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"model_id": "deepseek-ai/deepseek-r1-0528",
|
| 200 |
+
"name": "DeepSeek-R1-0528",
|
| 201 |
+
"developer": "deepseek-ai",
|
| 202 |
+
"scores": {
|
| 203 |
+
"Mean score": 0.699,
|
| 204 |
+
"MMLU-Pro": 0.793,
|
| 205 |
+
"GPQA": 0.666,
|
| 206 |
+
"IFEval": 0.784,
|
| 207 |
+
"WildBench": 0.828,
|
| 208 |
+
"Omni-MATH": 0.424
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"model_id": "deepseek-ai/deepseek-v3",
|
| 213 |
+
"name": "DeepSeek v3",
|
| 214 |
+
"developer": "deepseek-ai",
|
| 215 |
+
"scores": {
|
| 216 |
+
"Mean score": 0.665,
|
| 217 |
+
"MMLU-Pro": 0.723,
|
| 218 |
+
"GPQA": 0.538,
|
| 219 |
+
"IFEval": 0.832,
|
| 220 |
+
"WildBench": 0.831,
|
| 221 |
+
"Omni-MATH": 0.403
|
| 222 |
+
}
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"model_id": "google/gemini-1.5-flash-002",
|
| 226 |
+
"name": "Gemini 1.5 Flash 002",
|
| 227 |
+
"developer": "google",
|
| 228 |
+
"scores": {
|
| 229 |
+
"Mean score": 0.609,
|
| 230 |
+
"MMLU-Pro": 0.678,
|
| 231 |
+
"GPQA": 0.437,
|
| 232 |
+
"IFEval": 0.831,
|
| 233 |
+
"WildBench": 0.792,
|
| 234 |
+
"Omni-MATH": 0.305
|
| 235 |
+
}
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
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| 239 |
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| 240 |
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| 241 |
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| 242 |
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| 243 |
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| 244 |
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| 246 |
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| 247 |
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| 248 |
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| 249 |
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| 250 |
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{
|
| 251 |
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|
| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 |
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| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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{
|
| 264 |
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| 265 |
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"name": "Gemini 2.0 Flash Lite 02-05 preview",
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| 266 |
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| 267 |
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| 268 |
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| 269 |
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|
| 270 |
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| 271 |
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| 272 |
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|
| 273 |
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|
| 274 |
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}
|
| 275 |
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},
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| 276 |
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{
|
| 277 |
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"model_id": "google/gemini-2.5-flash-lite",
|
| 278 |
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"name": "Gemini 2.5 Flash-Lite",
|
| 279 |
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| 280 |
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| 281 |
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| 282 |
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|
| 283 |
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| 284 |
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| 285 |
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|
| 286 |
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|
| 287 |
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}
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| 288 |
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},
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| 289 |
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{
|
| 290 |
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|
| 291 |
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"name": "Gemini 2.5 Flash 04-17 preview",
|
| 292 |
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| 293 |
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| 294 |
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| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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}
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| 301 |
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},
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| 302 |
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{
|
| 303 |
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|
| 304 |
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"name": "Gemini 2.5 Pro 03-25 preview",
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| 305 |
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| 306 |
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| 307 |
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| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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}
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| 314 |
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| 315 |
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{
|
| 316 |
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|
| 317 |
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| 318 |
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| 319 |
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| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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}
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| 327 |
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},
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| 328 |
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{
|
| 329 |
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"model_id": "marin-community/marin-8b-instruct",
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| 330 |
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| 331 |
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| 332 |
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| 333 |
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| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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}
|
| 340 |
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},
|
| 341 |
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{
|
| 342 |
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"model_id": "meta/llama-3.1-405b-instruct-turbo",
|
| 343 |
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"name": "Llama 3.1 Instruct Turbo 405B",
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| 344 |
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|
| 345 |
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| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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|
| 352 |
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}
|
| 353 |
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},
|
| 354 |
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{
|
| 355 |
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"model_id": "meta/llama-3.1-70b-instruct-turbo",
|
| 356 |
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"name": "Llama 3.1 Instruct Turbo 70B",
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| 357 |
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|
| 358 |
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| 359 |
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|
| 360 |
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|
| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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}
|
| 366 |
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},
|
| 367 |
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{
|
| 368 |
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"model_id": "meta/llama-3.1-8b-instruct-turbo",
|
| 369 |
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"name": "Llama 3.1 Instruct Turbo 8B",
|
| 370 |
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|
| 371 |
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|
| 372 |
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|
| 373 |
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|
| 374 |
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|
| 375 |
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|
| 376 |
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|
| 377 |
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|
| 378 |
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}
|
| 379 |
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},
|
| 380 |
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{
|
| 381 |
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"model_id": "meta/llama-4-maverick-17b-128e-instruct-fp8",
|
| 382 |
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"name": "Llama 4 Maverick 17Bx128E Instruct FP8",
|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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|
| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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}
|
| 392 |
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},
|
| 393 |
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{
|
| 394 |
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"model_id": "meta/llama-4-scout-17b-16e-instruct",
|
| 395 |
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"name": "Llama 4 Scout 17Bx16E Instruct",
|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
| 403 |
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|
| 404 |
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}
|
| 405 |
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},
|
| 406 |
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{
|
| 407 |
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"model_id": "mistralai/mistral-7b-instruct-v0.3",
|
| 408 |
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"name": "Mistral Instruct v0.3 7B",
|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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}
|
| 418 |
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},
|
| 419 |
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{
|
| 420 |
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"model_id": "mistralai/mistral-large-2411",
|
| 421 |
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"name": "Mistral Large 2411",
|
| 422 |
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|
| 423 |
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|
| 424 |
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|
| 425 |
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|
| 426 |
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|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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}
|
| 431 |
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},
|
| 432 |
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{
|
| 433 |
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"model_id": "mistralai/mistral-small-2503",
|
| 434 |
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"name": "mistral-small-2503",
|
| 435 |
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|
| 436 |
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|
| 437 |
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|
| 438 |
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|
| 439 |
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|
| 440 |
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|
| 441 |
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|
| 442 |
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|
| 443 |
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}
|
| 444 |
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},
|
| 445 |
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{
|
| 446 |
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"model_id": "mistralai/mixtral-8x22b-instruct-v0.1",
|
| 447 |
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"name": "Mixtral Instruct 8x22B",
|
| 448 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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|
| 452 |
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|
| 453 |
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|
| 454 |
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|
| 455 |
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|
| 456 |
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}
|
| 457 |
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},
|
| 458 |
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{
|
| 459 |
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"model_id": "mistralai/mixtral-8x7b-instruct-v0.1",
|
| 460 |
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"name": "Mixtral Instruct 8x7B",
|
| 461 |
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"developer": "mistralai",
|
| 462 |
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|
| 463 |
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|
| 464 |
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|
| 465 |
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|
| 466 |
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|
| 467 |
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|
| 468 |
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|
| 469 |
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}
|
| 470 |
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},
|
| 471 |
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{
|
| 472 |
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"model_id": "moonshotai/kimi-k2-instruct",
|
| 473 |
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"name": "Kimi K2 Instruct",
|
| 474 |
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"developer": "moonshotai",
|
| 475 |
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|
| 476 |
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|
| 477 |
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|
| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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}
|
| 483 |
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},
|
| 484 |
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{
|
| 485 |
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"model_id": "openai/gpt-4.1-2025-04-14",
|
| 486 |
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"name": "gpt-4.1-2025-04-14",
|
| 487 |
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"developer": "openai",
|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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"IFEval": 0.838,
|
| 493 |
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|
| 494 |
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|
| 495 |
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}
|
| 496 |
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},
|
| 497 |
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{
|
| 498 |
+
"model_id": "openai/gpt-4.1-mini-2025-04-14",
|
| 499 |
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"name": "GPT-4.1 mini 2025-04-14",
|
| 500 |
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"developer": "openai",
|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
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|
| 507 |
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|
| 508 |
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}
|
| 509 |
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},
|
| 510 |
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{
|
| 511 |
+
"model_id": "openai/gpt-4.1-nano-2025-04-14",
|
| 512 |
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"name": "GPT-4.1 nano 2025-04-14",
|
| 513 |
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"developer": "openai",
|
| 514 |
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|
| 515 |
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|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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}
|
| 522 |
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},
|
| 523 |
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{
|
| 524 |
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"model_id": "openai/gpt-4o-2024-11-20",
|
| 525 |
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"name": "GPT-4o 2024-11-20",
|
| 526 |
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"developer": "openai",
|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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|
| 532 |
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|
| 533 |
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|
| 534 |
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}
|
| 535 |
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},
|
| 536 |
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{
|
| 537 |
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"model_id": "openai/gpt-4o-mini-2024-07-18",
|
| 538 |
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"name": "GPT-4o mini 2024-07-18",
|
| 539 |
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"developer": "openai",
|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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}
|
| 548 |
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},
|
| 549 |
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{
|
| 550 |
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"model_id": "openai/gpt-5-2025-08-07",
|
| 551 |
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"name": "gpt-5-2025-08-07",
|
| 552 |
+
"developer": "openai",
|
| 553 |
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|
| 554 |
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|
| 555 |
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|
| 556 |
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|
| 557 |
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"IFEval": 0.875,
|
| 558 |
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|
| 559 |
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|
| 560 |
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}
|
| 561 |
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},
|
| 562 |
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{
|
| 563 |
+
"model_id": "openai/gpt-5-mini-2025-08-07",
|
| 564 |
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"name": "GPT-5 mini 2025-08-07",
|
| 565 |
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"developer": "openai",
|
| 566 |
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|
| 567 |
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|
| 568 |
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|
| 569 |
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|
| 570 |
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"IFEval": 0.927,
|
| 571 |
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|
| 572 |
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|
| 573 |
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}
|
| 574 |
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},
|
| 575 |
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{
|
| 576 |
+
"model_id": "openai/gpt-5-nano-2025-08-07",
|
| 577 |
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"name": "GPT-5 nano 2025-08-07",
|
| 578 |
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"developer": "openai",
|
| 579 |
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|
| 580 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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"IFEval": 0.932,
|
| 584 |
+
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|
| 585 |
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|
| 586 |
+
}
|
| 587 |
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},
|
| 588 |
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{
|
| 589 |
+
"model_id": "openai/gpt-oss-120b",
|
| 590 |
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"name": "gpt-oss-120b",
|
| 591 |
+
"developer": "openai",
|
| 592 |
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"scores": {
|
| 593 |
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|
| 594 |
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|
| 595 |
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|
| 596 |
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"IFEval": 0.836,
|
| 597 |
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|
| 598 |
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"Omni-MATH": 0.688
|
| 599 |
+
}
|
| 600 |
+
},
|
| 601 |
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{
|
| 602 |
+
"model_id": "openai/gpt-oss-20b",
|
| 603 |
+
"name": "gpt-oss-20b",
|
| 604 |
+
"developer": "openai",
|
| 605 |
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"scores": {
|
| 606 |
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"Mean score": 0.674,
|
| 607 |
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|
| 608 |
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|
| 609 |
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"IFEval": 0.732,
|
| 610 |
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|
| 611 |
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|
| 612 |
+
}
|
| 613 |
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},
|
| 614 |
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{
|
| 615 |
+
"model_id": "openai/o3-2025-04-16",
|
| 616 |
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"name": "o3 2025-04-16",
|
| 617 |
+
"developer": "openai",
|
| 618 |
+
"scores": {
|
| 619 |
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|
| 620 |
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|
| 621 |
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|
| 622 |
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"IFEval": 0.869,
|
| 623 |
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|
| 624 |
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|
| 625 |
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}
|
| 626 |
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},
|
| 627 |
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{
|
| 628 |
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"model_id": "openai/o4-mini-2025-04-16",
|
| 629 |
+
"name": "o4-mini-2025-04-16",
|
| 630 |
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"developer": "openai",
|
| 631 |
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|
| 632 |
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|
| 633 |
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|
| 634 |
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|
| 635 |
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|
| 636 |
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|
| 637 |
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|
| 638 |
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|
| 639 |
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|
| 640 |
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{
|
| 641 |
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"model_id": "qwen/qwen2.5-72b-instruct-turbo",
|
| 642 |
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"name": "Qwen2.5 Instruct Turbo 72B",
|
| 643 |
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|
| 644 |
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|
| 645 |
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|
| 646 |
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|
| 647 |
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|
| 648 |
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"IFEval": 0.806,
|
| 649 |
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|
| 650 |
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"Omni-MATH": 0.33
|
| 651 |
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|
| 652 |
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|
| 653 |
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{
|
| 654 |
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"model_id": "qwen/qwen2.5-7b-instruct-turbo",
|
| 655 |
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"name": "Qwen2.5 Instruct Turbo 7B",
|
| 656 |
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"developer": "qwen",
|
| 657 |
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"scores": {
|
| 658 |
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"Mean score": 0.529,
|
| 659 |
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|
| 660 |
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|
| 661 |
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"IFEval": 0.741,
|
| 662 |
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"WildBench": 0.731,
|
| 663 |
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"Omni-MATH": 0.294
|
| 664 |
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}
|
| 665 |
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|
| 666 |
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{
|
| 667 |
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"model_id": "qwen/qwen3-235b-a22b-fp8-tput",
|
| 668 |
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"name": "Qwen3 235B A22B FP8 Throughput",
|
| 669 |
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"developer": "qwen",
|
| 670 |
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"scores": {
|
| 671 |
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"Mean score": 0.726,
|
| 672 |
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"MMLU-Pro": 0.817,
|
| 673 |
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"GPQA": 0.623,
|
| 674 |
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"IFEval": 0.816,
|
| 675 |
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"WildBench": 0.828,
|
| 676 |
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"Omni-MATH": 0.548
|
| 677 |
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}
|
| 678 |
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|
| 679 |
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{
|
| 680 |
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"model_id": "qwen/qwen3-235b-a22b-instruct-2507-fp8",
|
| 681 |
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"name": "Qwen3 235B A22B Instruct 2507 FP8",
|
| 682 |
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"developer": "qwen",
|
| 683 |
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"scores": {
|
| 684 |
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"Mean score": 0.798,
|
| 685 |
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|
| 686 |
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"GPQA": 0.726,
|
| 687 |
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"IFEval": 0.835,
|
| 688 |
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"WildBench": 0.866,
|
| 689 |
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"Omni-MATH": 0.718
|
| 690 |
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|
| 691 |
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|
| 692 |
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{
|
| 693 |
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"model_id": "writer/palmyra-fin",
|
| 694 |
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"name": "Palmyra Fin",
|
| 695 |
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|
| 696 |
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"scores": {
|
| 697 |
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"Mean score": 0.577,
|
| 698 |
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|
| 699 |
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|
| 700 |
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"IFEval": 0.793,
|
| 701 |
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"WildBench": 0.783,
|
| 702 |
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"Omni-MATH": 0.295
|
| 703 |
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}
|
| 704 |
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},
|
| 705 |
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{
|
| 706 |
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"model_id": "writer/palmyra-med",
|
| 707 |
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"name": "Palmyra Med",
|
| 708 |
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"developer": "writer",
|
| 709 |
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"scores": {
|
| 710 |
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"Mean score": 0.476,
|
| 711 |
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"MMLU-Pro": 0.411,
|
| 712 |
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"GPQA": 0.368,
|
| 713 |
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"IFEval": 0.767,
|
| 714 |
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"WildBench": 0.676,
|
| 715 |
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"Omni-MATH": 0.156
|
| 716 |
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}
|
| 717 |
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|
| 718 |
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{
|
| 719 |
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"model_id": "writer/palmyra-x-004",
|
| 720 |
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"name": "Palmyra-X-004",
|
| 721 |
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"developer": "writer",
|
| 722 |
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"scores": {
|
| 723 |
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"Mean score": 0.609,
|
| 724 |
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"MMLU-Pro": 0.657,
|
| 725 |
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"GPQA": 0.395,
|
| 726 |
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"IFEval": 0.872,
|
| 727 |
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"WildBench": 0.802,
|
| 728 |
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"Omni-MATH": 0.32
|
| 729 |
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}
|
| 730 |
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},
|
| 731 |
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{
|
| 732 |
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"model_id": "writer/palmyra-x5",
|
| 733 |
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"name": "Palmyra X5",
|
| 734 |
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"developer": "writer",
|
| 735 |
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"scores": {
|
| 736 |
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"Mean score": 0.696,
|
| 737 |
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"MMLU-Pro": 0.804,
|
| 738 |
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"GPQA": 0.661,
|
| 739 |
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"IFEval": 0.823,
|
| 740 |
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"WildBench": 0.78,
|
| 741 |
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"Omni-MATH": 0.414
|
| 742 |
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}
|
| 743 |
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},
|
| 744 |
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{
|
| 745 |
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"model_id": "xai/grok-3-beta",
|
| 746 |
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"name": "Grok 3 Beta",
|
| 747 |
+
"developer": "xai",
|
| 748 |
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"scores": {
|
| 749 |
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"Mean score": 0.727,
|
| 750 |
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"MMLU-Pro": 0.788,
|
| 751 |
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"GPQA": 0.65,
|
| 752 |
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"IFEval": 0.884,
|
| 753 |
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"WildBench": 0.849,
|
| 754 |
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"Omni-MATH": 0.464
|
| 755 |
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}
|
| 756 |
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},
|
| 757 |
+
{
|
| 758 |
+
"model_id": "xai/grok-3-mini-beta",
|
| 759 |
+
"name": "Grok 3 mini Beta",
|
| 760 |
+
"developer": "xai",
|
| 761 |
+
"scores": {
|
| 762 |
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"Mean score": 0.679,
|
| 763 |
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"MMLU-Pro": 0.799,
|
| 764 |
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"GPQA": 0.675,
|
| 765 |
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"IFEval": 0.951,
|
| 766 |
+
"WildBench": 0.651,
|
| 767 |
+
"Omni-MATH": 0.318
|
| 768 |
+
}
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"model_id": "xai/grok-4-0709",
|
| 772 |
+
"name": "grok-4-0709",
|
| 773 |
+
"developer": "xai",
|
| 774 |
+
"scores": {
|
| 775 |
+
"Mean score": 0.785,
|
| 776 |
+
"MMLU-Pro": 0.851,
|
| 777 |
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"GPQA": 0.726,
|
| 778 |
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"IFEval": 0.949,
|
| 779 |
+
"WildBench": 0.797,
|
| 780 |
+
"Omni-MATH": 0.603
|
| 781 |
+
}
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"model_id": "zai-org/glm-4.5-air-fp8",
|
| 785 |
+
"name": "GLM-4.5-Air-FP8",
|
| 786 |
+
"developer": "zai-org",
|
| 787 |
+
"scores": {
|
| 788 |
+
"Mean score": 0.67,
|
| 789 |
+
"MMLU-Pro": 0.762,
|
| 790 |
+
"GPQA": 0.594,
|
| 791 |
+
"IFEval": 0.812,
|
| 792 |
+
"WildBench": 0.789,
|
| 793 |
+
"Omni-MATH": 0.391
|
| 794 |
+
}
|
| 795 |
+
}
|
| 796 |
+
]
|
| 797 |
+
}
|
data/benchmarks/helm_classic.json
ADDED
|
@@ -0,0 +1,1478 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 55 |
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| 57 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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"name": "Jurassic-2 Jumbo 178B",
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| 138 |
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| 139 |
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| 140 |
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| 155 |
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}
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| 156 |
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| 157 |
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{
|
| 158 |
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| 159 |
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"name": "Jurassic-2 Large 7.5B",
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| 160 |
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| 161 |
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| 162 |
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}
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| 178 |
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| 179 |
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{
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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}
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| 200 |
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},
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| 201 |
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{
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| 202 |
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"model_id": "aleph-alpha/Luminous-Extended-30B",
|
| 203 |
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"name": "Luminous Extended 30B",
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| 204 |
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"developer": "aleph-alpha",
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| 205 |
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| 206 |
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| 220 |
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}
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| 222 |
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| 223 |
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{
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| 224 |
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|
| 225 |
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"name": "Luminous Supreme 70B",
|
| 226 |
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"developer": "aleph-alpha",
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| 227 |
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| 228 |
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| 229 |
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| 231 |
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| 239 |
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| 240 |
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| 241 |
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|
| 242 |
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| 243 |
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}
|
| 244 |
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},
|
| 245 |
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{
|
| 246 |
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"model_id": "bigscience/BLOOM-176B",
|
| 247 |
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"name": "BLOOM 176B",
|
| 248 |
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| 249 |
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| 250 |
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| 251 |
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"IMDB": 0.945,
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"CivilComments": 0.62,
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| 264 |
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}
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| 266 |
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},
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| 267 |
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{
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| 268 |
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| 269 |
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"name": "T0pp 11B",
|
| 270 |
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| 271 |
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"CivilComments": 0.234,
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}
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| 289 |
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{
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| 290 |
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"model_id": "cohere/Cohere-Command-beta-52.4B",
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| 291 |
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"name": "Cohere Command beta 52.4B",
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| 292 |
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| 293 |
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"IMDB": 0.96,
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}
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| 310 |
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},
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| 311 |
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{
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| 312 |
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"model_id": "cohere/Cohere-Command-beta-6.1B",
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| 313 |
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"name": "Cohere Command beta 6.1B",
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| 314 |
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"developer": "cohere",
|
| 315 |
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| 316 |
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"Mean win rate": 0.675,
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"XSUM": 0.122,
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"IMDB": 0.961,
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"CivilComments": 0.54,
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}
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| 332 |
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},
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| 333 |
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{
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"model_id": "cohere/Cohere-large-v20220720-13.1B",
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| 335 |
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"name": "Cohere large v20220720 13.1B",
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| 336 |
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| 337 |
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| 349 |
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| 351 |
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| 352 |
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| 353 |
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| 354 |
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| 355 |
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{
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| 356 |
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| 357 |
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| 358 |
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| 359 |
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| 373 |
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| 374 |
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}
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| 376 |
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},
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| 377 |
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{
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| 378 |
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"model_id": "cohere/Cohere-medium-v20221108-6.1B",
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| 379 |
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| 380 |
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| 381 |
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| 382 |
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| 393 |
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| 395 |
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| 396 |
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| 397 |
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}
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| 398 |
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},
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| 399 |
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{
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| 400 |
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"model_id": "cohere/Cohere-small-v20220720-410M",
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| 401 |
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"name": "Cohere small v20220720 410M",
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| 402 |
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| 403 |
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| 417 |
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| 418 |
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| 419 |
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}
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| 420 |
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},
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| 421 |
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{
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| 422 |
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"model_id": "cohere/Cohere-xlarge-v20220609-52.4B",
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| 423 |
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| 424 |
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| 425 |
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| 426 |
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| 439 |
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| 440 |
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| 441 |
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}
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| 442 |
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},
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| 443 |
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{
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| 444 |
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| 445 |
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| 446 |
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| 447 |
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}
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| 464 |
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},
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| 465 |
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{
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| 466 |
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"model_id": "eleutherai/Pythia-12B",
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| 467 |
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| 468 |
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| 469 |
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}
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| 486 |
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},
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| 487 |
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{
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| 488 |
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"model_id": "eleutherai/Pythia-6.9B",
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| 489 |
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| 490 |
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}
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| 508 |
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},
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| 509 |
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{
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| 510 |
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"model_id": "google/Palmyra-X-43B",
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| 511 |
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}
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},
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| 531 |
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{
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| 532 |
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"model_id": "google/T5-11B",
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| 533 |
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"name": "T5 11B",
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| 534 |
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| 535 |
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| 550 |
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|
| 551 |
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}
|
| 552 |
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},
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| 553 |
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{
|
| 554 |
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"model_id": "google/UL2-20B",
|
| 555 |
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"name": "UL2 20B",
|
| 556 |
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| 557 |
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| 558 |
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|
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|
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|
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|
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|
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}
|
| 574 |
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},
|
| 575 |
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{
|
| 576 |
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"model_id": "lmsys/Vicuna-v1.3-13B",
|
| 577 |
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"name": "Vicuna v1.3 13B",
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| 578 |
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"developer": "lmsys",
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| 579 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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}
|
| 596 |
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},
|
| 597 |
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{
|
| 598 |
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"model_id": "lmsys/Vicuna-v1.3-7B",
|
| 599 |
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"name": "Vicuna v1.3 7B",
|
| 600 |
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"developer": "lmsys",
|
| 601 |
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"scores": {
|
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|
| 603 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"CNN/DailyMail": -1.0,
|
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|
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|
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|
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|
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}
|
| 618 |
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},
|
| 619 |
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{
|
| 620 |
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"model_id": "meta/LLaMA-13B",
|
| 621 |
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"name": "LLaMA 13B",
|
| 622 |
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|
| 623 |
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|
| 624 |
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|
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|
| 626 |
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|
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|
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|
| 629 |
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|
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|
| 631 |
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|
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|
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|
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"CNN/DailyMail": -1.0,
|
| 635 |
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|
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|
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|
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|
| 639 |
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}
|
| 640 |
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},
|
| 641 |
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{
|
| 642 |
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"model_id": "meta/LLaMA-30B",
|
| 643 |
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"name": "LLaMA 30B",
|
| 644 |
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|
| 645 |
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| 646 |
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|
| 647 |
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|
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|
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|
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|
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|
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|
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|
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|
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"CNN/DailyMail": -1.0,
|
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|
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|
| 660 |
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|
| 661 |
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}
|
| 662 |
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},
|
| 663 |
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{
|
| 664 |
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"model_id": "meta/LLaMA-65B",
|
| 665 |
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"name": "LLaMA 65B",
|
| 666 |
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"developer": "meta",
|
| 667 |
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"scores": {
|
| 668 |
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|
| 669 |
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|
| 670 |
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|
| 671 |
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|
| 672 |
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|
| 673 |
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|
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| 675 |
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|
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| 677 |
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|
| 678 |
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"CNN/DailyMail": -1.0,
|
| 679 |
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"XSUM": -1.0,
|
| 680 |
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"IMDB": 0.962,
|
| 681 |
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|
| 682 |
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|
| 683 |
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}
|
| 684 |
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},
|
| 685 |
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{
|
| 686 |
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"model_id": "meta/LLaMA-7B",
|
| 687 |
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"name": "LLaMA 7B",
|
| 688 |
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"developer": "meta",
|
| 689 |
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| 690 |
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|
| 691 |
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|
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|
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|
| 695 |
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|
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| 697 |
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| 698 |
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| 700 |
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"CNN/DailyMail": -1.0,
|
| 701 |
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"XSUM": -1.0,
|
| 702 |
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"IMDB": 0.947,
|
| 703 |
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|
| 704 |
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"RAFT": 0.573
|
| 705 |
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}
|
| 706 |
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},
|
| 707 |
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{
|
| 708 |
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"model_id": "meta/Llama-2-13B",
|
| 709 |
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"name": "Llama 2 13B",
|
| 710 |
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"developer": "meta",
|
| 711 |
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"scores": {
|
| 712 |
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"Mean win rate": 0.823,
|
| 713 |
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|
| 714 |
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|
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|
| 716 |
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|
| 717 |
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| 718 |
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| 728 |
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| 729 |
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{
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| 730 |
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| 731 |
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| 732 |
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| 733 |
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| 734 |
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| 750 |
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| 751 |
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{
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| 752 |
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| 753 |
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| 754 |
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| 755 |
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| 756 |
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| 772 |
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| 773 |
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{
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| 774 |
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| 775 |
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| 776 |
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| 777 |
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| 778 |
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}
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| 794 |
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| 795 |
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{
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| 796 |
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| 797 |
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| 798 |
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| 799 |
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| 800 |
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| 816 |
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{
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| 818 |
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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| 823 |
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}
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| 838 |
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},
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| 839 |
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{
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| 840 |
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| 841 |
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| 842 |
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| 843 |
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| 863 |
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| 864 |
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{
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| 885 |
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| 886 |
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}
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{
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| 907 |
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| 908 |
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| 909 |
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{
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| 928 |
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| 929 |
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| 930 |
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| 931 |
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| 932 |
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}
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{
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| 950 |
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| 951 |
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"name": "GPT-NeoX 20B",
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| 952 |
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| 953 |
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| 954 |
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}
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| 970 |
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},
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{
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| 972 |
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| 973 |
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"name": "ada 350M",
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| 974 |
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| 975 |
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| 976 |
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| 978 |
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}
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},
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{
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| 995 |
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"name": "babbage 1.3B",
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| 996 |
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| 997 |
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| 998 |
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| 999 |
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| 1000 |
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| 1001 |
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}
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{
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| 1016 |
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| 1017 |
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| 1018 |
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| 1019 |
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| 1020 |
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| 1021 |
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| 1025 |
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| 1027 |
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}
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| 1036 |
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{
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| 1038 |
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| 1039 |
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| 1040 |
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| 1041 |
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| 1042 |
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}
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| 1058 |
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| 1059 |
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{
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| 1060 |
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| 1061 |
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"name": "gpt-3.5-turbo-0301",
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| 1062 |
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| 1063 |
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| 1064 |
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| 1065 |
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| 1080 |
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| 1081 |
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{
|
| 1082 |
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| 1443 |
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"QuAC": 0.162,
|
| 1444 |
+
"HellaSwag": -1.0,
|
| 1445 |
+
"OpenbookQA": -1.0,
|
| 1446 |
+
"TruthfulQA": 0.202,
|
| 1447 |
+
"MS MARCO (TREC)": -1.0,
|
| 1448 |
+
"CNN/DailyMail": 0.017,
|
| 1449 |
+
"XSUM": 0.021,
|
| 1450 |
+
"IMDB": 0.836,
|
| 1451 |
+
"CivilComments": 0.49,
|
| 1452 |
+
"RAFT": 0.395
|
| 1453 |
+
}
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"model_id": "zhipu-ai/GLM-130B",
|
| 1457 |
+
"name": "GLM 130B",
|
| 1458 |
+
"developer": "zhipu-ai",
|
| 1459 |
+
"scores": {
|
| 1460 |
+
"Mean win rate": 0.512,
|
| 1461 |
+
"MMLU": 0.344,
|
| 1462 |
+
"BoolQ": 0.784,
|
| 1463 |
+
"NarrativeQA": 0.706,
|
| 1464 |
+
"NaturalQuestions (open-book)": 0.642,
|
| 1465 |
+
"QuAC": 0.272,
|
| 1466 |
+
"HellaSwag": -1.0,
|
| 1467 |
+
"OpenbookQA": -1.0,
|
| 1468 |
+
"TruthfulQA": 0.218,
|
| 1469 |
+
"MS MARCO (TREC)": -1.0,
|
| 1470 |
+
"CNN/DailyMail": 0.154,
|
| 1471 |
+
"XSUM": 0.132,
|
| 1472 |
+
"IMDB": 0.955,
|
| 1473 |
+
"CivilComments": 0.5,
|
| 1474 |
+
"RAFT": 0.598
|
| 1475 |
+
}
|
| 1476 |
+
}
|
| 1477 |
+
]
|
| 1478 |
+
}
|
data/benchmarks/helm_instruct.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-v1.3",
|
| 5 |
+
"name": "Anthropic Claude v1.3",
|
| 6 |
+
"developer": "anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"Mean win rate": 0.611,
|
| 9 |
+
"Anthropic RLHF dataset": 4.965,
|
| 10 |
+
"Best ChatGPT Prompts": 4.995,
|
| 11 |
+
"Koala test dataset": 4.981,
|
| 12 |
+
"Open Assistant": 4.975,
|
| 13 |
+
"Self Instruct": 4.992,
|
| 14 |
+
"Vicuna": 4.989
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"model_id": "cohere/command-xlarge-beta",
|
| 19 |
+
"name": "Cohere Command beta 52.4B",
|
| 20 |
+
"developer": "cohere",
|
| 21 |
+
"scores": {
|
| 22 |
+
"Mean win rate": 0.089,
|
| 23 |
+
"Anthropic RLHF dataset": 4.214,
|
| 24 |
+
"Best ChatGPT Prompts": 4.988,
|
| 25 |
+
"Koala test dataset": 4.969,
|
| 26 |
+
"Open Assistant": 4.967,
|
| 27 |
+
"Self Instruct": 4.971,
|
| 28 |
+
"Vicuna": 4.995
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"model_id": "openai/gpt-3.5-turbo-0613",
|
| 33 |
+
"name": "gpt-3.5-turbo-0613",
|
| 34 |
+
"developer": "openai",
|
| 35 |
+
"scores": {
|
| 36 |
+
"Mean win rate": 0.689,
|
| 37 |
+
"Anthropic RLHF dataset": 4.964,
|
| 38 |
+
"Best ChatGPT Prompts": 4.986,
|
| 39 |
+
"Koala test dataset": 4.987,
|
| 40 |
+
"Open Assistant": 4.987,
|
| 41 |
+
"Self Instruct": 4.99,
|
| 42 |
+
"Vicuna": 4.992
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"model_id": "openai/gpt-4-0314",
|
| 47 |
+
"name": "GPT-4 0314",
|
| 48 |
+
"developer": "openai",
|
| 49 |
+
"scores": {
|
| 50 |
+
"Mean win rate": 0.611,
|
| 51 |
+
"Anthropic RLHF dataset": 4.934,
|
| 52 |
+
"Best ChatGPT Prompts": 4.973,
|
| 53 |
+
"Koala test dataset": 4.966,
|
| 54 |
+
"Open Assistant": 4.986,
|
| 55 |
+
"Self Instruct": 4.976,
|
| 56 |
+
"Vicuna": 4.995
|
| 57 |
+
}
|
| 58 |
+
}
|
| 59 |
+
]
|
| 60 |
+
}
|
data/benchmarks/helm_lite.json
ADDED
|
@@ -0,0 +1,1551 @@
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|
| 1 |
+
{
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| 2 |
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|
| 3 |
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{
|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 34 |
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| 36 |
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| 37 |
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{
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 52 |
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| 53 |
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| 54 |
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{
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 69 |
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| 70 |
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| 71 |
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{
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 87 |
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| 88 |
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{
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 104 |
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| 105 |
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{
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 121 |
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| 122 |
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{
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 138 |
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| 139 |
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{
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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{
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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}
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| 172 |
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| 173 |
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{
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 189 |
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},
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| 190 |
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{
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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{
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| 208 |
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| 210 |
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| 211 |
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}
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{
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 239 |
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}
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| 240 |
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| 241 |
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{
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| 242 |
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| 243 |
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"name": "Amazon Nova Pro",
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| 244 |
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| 245 |
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| 246 |
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}
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| 257 |
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},
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| 258 |
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{
|
| 259 |
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"model_id": "anthropic/claude-2.0",
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| 260 |
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"name": "Claude 2.0",
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| 261 |
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"developer": "anthropic",
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 273 |
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}
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| 274 |
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},
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| 275 |
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{
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| 276 |
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"model_id": "anthropic/claude-2.1",
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| 277 |
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"name": "Claude 2.1",
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| 278 |
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"developer": "anthropic",
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| 279 |
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"scores": {
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| 280 |
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| 290 |
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}
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| 291 |
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},
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| 292 |
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{
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| 293 |
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"model_id": "anthropic/claude-3-5-haiku-20241022",
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| 294 |
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"name": "claude-3-5-haiku-20241022",
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| 295 |
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"developer": "anthropic",
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| 296 |
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"scores": {
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| 297 |
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}
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| 308 |
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},
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| 309 |
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{
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| 310 |
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"model_id": "anthropic/claude-3-5-sonnet-20240620",
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| 311 |
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"name": "Claude 3.5 Sonnet 20240620",
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| 312 |
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"developer": "anthropic",
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| 313 |
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"scores": {
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}
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| 325 |
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},
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| 326 |
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{
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| 327 |
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"model_id": "anthropic/claude-3-5-sonnet-20241022",
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| 328 |
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"name": "Claude 3.5 Sonnet 20241022",
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| 329 |
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"developer": "anthropic",
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| 330 |
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"scores": {
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| 331 |
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| 340 |
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| 341 |
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}
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| 342 |
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},
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| 343 |
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{
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| 344 |
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"model_id": "anthropic/claude-3-haiku-20240307",
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| 345 |
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"name": "Claude 3 Haiku 20240307",
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| 346 |
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"developer": "anthropic",
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| 347 |
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"scores": {
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| 348 |
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| 349 |
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}
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| 359 |
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},
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| 360 |
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{
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| 361 |
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"model_id": "anthropic/claude-3-opus-20240229",
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| 362 |
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"name": "Claude 3 Opus 20240229",
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| 363 |
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"developer": "anthropic",
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| 364 |
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{
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| 378 |
+
"model_id": "anthropic/claude-3-sonnet-20240229",
|
| 379 |
+
"name": "Claude 3 Sonnet 20240229",
|
| 380 |
+
"developer": "anthropic",
|
| 381 |
+
"scores": {
|
| 382 |
+
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|
| 383 |
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|
| 384 |
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|
| 385 |
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| 386 |
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|
| 387 |
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| 388 |
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| 389 |
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| 390 |
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| 391 |
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|
| 392 |
+
}
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"model_id": "anthropic/claude-instant-1.2",
|
| 396 |
+
"name": "Claude Instant 1.2",
|
| 397 |
+
"developer": "anthropic",
|
| 398 |
+
"scores": {
|
| 399 |
+
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|
| 400 |
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|
| 401 |
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|
| 402 |
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| 403 |
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| 404 |
+
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| 405 |
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| 406 |
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| 407 |
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|
| 408 |
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|
| 409 |
+
}
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"model_id": "anthropic/claude-v1.3",
|
| 413 |
+
"name": "Anthropic Claude v1.3",
|
| 414 |
+
"developer": "anthropic",
|
| 415 |
+
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|
| 416 |
+
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|
| 417 |
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|
| 418 |
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|
| 419 |
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|
| 420 |
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|
| 421 |
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| 422 |
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| 423 |
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| 424 |
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|
| 425 |
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|
| 426 |
+
}
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| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"model_id": "cohere/command",
|
| 430 |
+
"name": "Command",
|
| 431 |
+
"developer": "cohere",
|
| 432 |
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|
| 433 |
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|
| 434 |
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| 435 |
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|
| 436 |
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|
| 437 |
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|
| 438 |
+
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|
| 439 |
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|
| 440 |
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| 441 |
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|
| 442 |
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| 443 |
+
}
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| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"model_id": "cohere/command-light",
|
| 447 |
+
"name": "Command Light",
|
| 448 |
+
"developer": "cohere",
|
| 449 |
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|
| 450 |
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|
| 451 |
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| 452 |
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| 453 |
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|
| 454 |
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|
| 455 |
+
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| 456 |
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| 457 |
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| 458 |
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| 459 |
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|
| 460 |
+
}
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| 461 |
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},
|
| 462 |
+
{
|
| 463 |
+
"model_id": "cohere/command-r",
|
| 464 |
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"name": "Command R",
|
| 465 |
+
"developer": "cohere",
|
| 466 |
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|
| 467 |
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|
| 468 |
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| 469 |
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| 470 |
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| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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| 475 |
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|
| 476 |
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|
| 477 |
+
}
|
| 478 |
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},
|
| 479 |
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{
|
| 480 |
+
"model_id": "cohere/command-r-plus",
|
| 481 |
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"name": "Command R Plus",
|
| 482 |
+
"developer": "cohere",
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| 483 |
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| 484 |
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|
| 485 |
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| 486 |
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| 487 |
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| 488 |
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| 489 |
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| 490 |
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| 491 |
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| 492 |
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| 493 |
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| 494 |
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}
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| 495 |
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},
|
| 496 |
+
{
|
| 497 |
+
"model_id": "databricks/dbrx-instruct",
|
| 498 |
+
"name": "DBRX Instruct",
|
| 499 |
+
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| 500 |
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| 501 |
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|
| 502 |
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|
| 503 |
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| 504 |
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| 505 |
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| 506 |
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|
| 507 |
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| 508 |
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| 509 |
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|
| 510 |
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|
| 511 |
+
}
|
| 512 |
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},
|
| 513 |
+
{
|
| 514 |
+
"model_id": "deepseek-ai/deepseek-llm-67b-chat",
|
| 515 |
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"name": "DeepSeek LLM Chat 67B",
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| 516 |
+
"developer": "deepseek-ai",
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| 517 |
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| 518 |
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|
| 519 |
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|
| 520 |
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| 521 |
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| 522 |
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| 523 |
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| 524 |
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| 525 |
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| 526 |
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| 527 |
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|
| 528 |
+
}
|
| 529 |
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},
|
| 530 |
+
{
|
| 531 |
+
"model_id": "deepseek-ai/deepseek-v3",
|
| 532 |
+
"name": "DeepSeek v3",
|
| 533 |
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"developer": "deepseek-ai",
|
| 534 |
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| 535 |
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|
| 536 |
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|
| 537 |
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| 538 |
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| 539 |
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|
| 540 |
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| 541 |
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| 542 |
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| 543 |
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| 544 |
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|
| 545 |
+
}
|
| 546 |
+
},
|
| 547 |
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{
|
| 548 |
+
"model_id": "google/gemini-1.0-pro-002",
|
| 549 |
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"name": "Gemini 1.0 Pro 002",
|
| 550 |
+
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|
| 551 |
+
"scores": {
|
| 552 |
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|
| 553 |
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|
| 554 |
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|
| 555 |
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| 556 |
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|
| 557 |
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|
| 558 |
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|
| 559 |
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|
| 560 |
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|
| 561 |
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|
| 562 |
+
}
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"model_id": "google/gemini-1.5-flash-001",
|
| 566 |
+
"name": "Gemini 1.5 Flash 001",
|
| 567 |
+
"developer": "google",
|
| 568 |
+
"scores": {
|
| 569 |
+
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|
| 570 |
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|
| 571 |
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|
| 572 |
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|
| 573 |
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|
| 574 |
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|
| 575 |
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|
| 576 |
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|
| 577 |
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|
| 578 |
+
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|
| 579 |
+
}
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"model_id": "google/gemini-1.5-flash-002",
|
| 583 |
+
"name": "Gemini 1.5 Flash 002",
|
| 584 |
+
"developer": "google",
|
| 585 |
+
"scores": {
|
| 586 |
+
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|
| 587 |
+
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|
| 588 |
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|
| 589 |
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|
| 590 |
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|
| 591 |
+
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|
| 592 |
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|
| 593 |
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|
| 594 |
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|
| 595 |
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|
| 596 |
+
}
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"model_id": "google/gemini-1.5-pro-001",
|
| 600 |
+
"name": "Gemini 1.5 Pro 001",
|
| 601 |
+
"developer": "google",
|
| 602 |
+
"scores": {
|
| 603 |
+
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|
| 604 |
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|
| 605 |
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|
| 606 |
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|
| 607 |
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|
| 608 |
+
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|
| 609 |
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|
| 610 |
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|
| 611 |
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|
| 612 |
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|
| 613 |
+
}
|
| 614 |
+
},
|
| 615 |
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{
|
| 616 |
+
"model_id": "google/gemini-1.5-pro-002",
|
| 617 |
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"name": "Gemini 1.5 Pro 002",
|
| 618 |
+
"developer": "google",
|
| 619 |
+
"scores": {
|
| 620 |
+
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|
| 621 |
+
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|
| 622 |
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|
| 623 |
+
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|
| 624 |
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|
| 625 |
+
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|
| 626 |
+
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|
| 627 |
+
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|
| 628 |
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"MedQA": 0.771,
|
| 629 |
+
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|
| 630 |
+
}
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"model_id": "google/gemini-2.0-flash-exp",
|
| 634 |
+
"name": "Gemini 2.0 Flash Experimental",
|
| 635 |
+
"developer": "google",
|
| 636 |
+
"scores": {
|
| 637 |
+
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|
| 638 |
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|
| 639 |
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|
| 640 |
+
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|
| 641 |
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|
| 642 |
+
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|
| 643 |
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"GSM8K": 0.946,
|
| 644 |
+
"LegalBench": 0.674,
|
| 645 |
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"MedQA": 0.73,
|
| 646 |
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|
| 647 |
+
}
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"model_id": "google/gemma-2-27b-it",
|
| 651 |
+
"name": "Gemma 2 Instruct 27B",
|
| 652 |
+
"developer": "google",
|
| 653 |
+
"scores": {
|
| 654 |
+
"Mean win rate": 0.675,
|
| 655 |
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|
| 656 |
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|
| 657 |
+
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|
| 658 |
+
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|
| 659 |
+
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|
| 660 |
+
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|
| 661 |
+
"LegalBench": 0.7,
|
| 662 |
+
"MedQA": 0.684,
|
| 663 |
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|
| 664 |
+
}
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"model_id": "google/gemma-2-9b-it",
|
| 668 |
+
"name": "Gemma 2 Instruct 9B",
|
| 669 |
+
"developer": "google",
|
| 670 |
+
"scores": {
|
| 671 |
+
"Mean win rate": 0.562,
|
| 672 |
+
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|
| 673 |
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|
| 674 |
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|
| 675 |
+
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|
| 676 |
+
"MATH": 0.724,
|
| 677 |
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"GSM8K": 0.762,
|
| 678 |
+
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|
| 679 |
+
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|
| 680 |
+
"WMT 2014": 0.201
|
| 681 |
+
}
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"model_id": "google/gemma-7b",
|
| 685 |
+
"name": "Gemma 7B",
|
| 686 |
+
"developer": "google",
|
| 687 |
+
"scores": {
|
| 688 |
+
"Mean win rate": 0.336,
|
| 689 |
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"NarrativeQA": 0.752,
|
| 690 |
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|
| 691 |
+
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|
| 692 |
+
"MMLU": 0.571,
|
| 693 |
+
"MATH": 0.5,
|
| 694 |
+
"GSM8K": 0.559,
|
| 695 |
+
"LegalBench": 0.581,
|
| 696 |
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"MedQA": 0.513,
|
| 697 |
+
"WMT 2014": 0.187
|
| 698 |
+
}
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"model_id": "google/text-bison@001",
|
| 702 |
+
"name": "PaLM-2 Bison",
|
| 703 |
+
"developer": "google",
|
| 704 |
+
"scores": {
|
| 705 |
+
"Mean win rate": 0.526,
|
| 706 |
+
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|
| 707 |
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|
| 708 |
+
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|
| 709 |
+
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|
| 710 |
+
"MATH": 0.421,
|
| 711 |
+
"GSM8K": 0.61,
|
| 712 |
+
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|
| 713 |
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"MedQA": 0.547,
|
| 714 |
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"WMT 2014": 0.241
|
| 715 |
+
}
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"model_id": "google/text-unicorn@001",
|
| 719 |
+
"name": "PaLM-2 Unicorn",
|
| 720 |
+
"developer": "google",
|
| 721 |
+
"scores": {
|
| 722 |
+
"Mean win rate": 0.644,
|
| 723 |
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|
| 724 |
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|
| 725 |
+
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|
| 726 |
+
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|
| 727 |
+
"MATH": 0.674,
|
| 728 |
+
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|
| 729 |
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|
| 730 |
+
"MedQA": 0.684,
|
| 731 |
+
"WMT 2014": 0.26
|
| 732 |
+
}
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"model_id": "meta/llama-2-13b",
|
| 736 |
+
"name": "Llama 2 13B",
|
| 737 |
+
"developer": "meta",
|
| 738 |
+
"scores": {
|
| 739 |
+
"Mean win rate": 0.233,
|
| 740 |
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|
| 741 |
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|
| 742 |
+
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|
| 743 |
+
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|
| 744 |
+
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|
| 745 |
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|
| 746 |
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"LegalBench": 0.591,
|
| 747 |
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|
| 748 |
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|
| 749 |
+
}
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"model_id": "meta/llama-2-70b",
|
| 753 |
+
"name": "Llama 2 70B",
|
| 754 |
+
"developer": "meta",
|
| 755 |
+
"scores": {
|
| 756 |
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"Mean win rate": 0.482,
|
| 757 |
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|
| 758 |
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|
| 759 |
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| 760 |
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| 761 |
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| 762 |
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| 763 |
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| 764 |
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| 765 |
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| 766 |
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}
|
| 767 |
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},
|
| 768 |
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{
|
| 769 |
+
"model_id": "meta/llama-2-7b",
|
| 770 |
+
"name": "Llama 2 7B",
|
| 771 |
+
"developer": "meta",
|
| 772 |
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|
| 773 |
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|
| 774 |
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| 775 |
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| 776 |
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| 777 |
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| 778 |
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| 779 |
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| 780 |
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| 781 |
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| 782 |
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| 783 |
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}
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| 784 |
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},
|
| 785 |
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{
|
| 786 |
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"model_id": "meta/llama-3-70b",
|
| 787 |
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"name": "Llama 3 70B",
|
| 788 |
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|
| 789 |
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|
| 790 |
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|
| 791 |
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| 792 |
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| 793 |
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| 794 |
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| 795 |
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| 796 |
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| 797 |
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| 798 |
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| 799 |
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|
| 800 |
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}
|
| 801 |
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},
|
| 802 |
+
{
|
| 803 |
+
"model_id": "meta/llama-3-8b",
|
| 804 |
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"name": "Llama 3 8B",
|
| 805 |
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|
| 806 |
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| 807 |
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| 808 |
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| 809 |
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| 810 |
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| 811 |
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| 812 |
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| 813 |
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| 814 |
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| 815 |
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| 816 |
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| 817 |
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}
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| 818 |
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},
|
| 819 |
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{
|
| 820 |
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"model_id": "meta/llama-3.1-405b-instruct-turbo",
|
| 821 |
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"name": "Llama 3.1 Instruct Turbo 405B",
|
| 822 |
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|
| 823 |
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| 824 |
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| 825 |
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| 826 |
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| 827 |
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| 828 |
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| 829 |
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| 830 |
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| 831 |
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| 832 |
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| 833 |
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|
| 834 |
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}
|
| 835 |
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},
|
| 836 |
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{
|
| 837 |
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"model_id": "meta/llama-3.1-70b-instruct-turbo",
|
| 838 |
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"name": "Llama 3.1 Instruct Turbo 70B",
|
| 839 |
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|
| 840 |
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| 841 |
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| 842 |
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| 843 |
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| 844 |
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| 845 |
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| 846 |
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| 847 |
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| 848 |
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| 849 |
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| 850 |
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| 851 |
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}
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| 852 |
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},
|
| 853 |
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{
|
| 854 |
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"model_id": "meta/llama-3.1-8b-instruct-turbo",
|
| 855 |
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"name": "Llama 3.1 Instruct Turbo 8B",
|
| 856 |
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|
| 857 |
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| 858 |
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| 859 |
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| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 865 |
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| 866 |
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| 867 |
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| 868 |
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}
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| 869 |
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},
|
| 870 |
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{
|
| 871 |
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"model_id": "meta/llama-3.2-11b-vision-instruct-turbo",
|
| 872 |
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"name": "Llama 3.2 Vision Instruct Turbo 11B",
|
| 873 |
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| 874 |
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| 875 |
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| 876 |
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| 877 |
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| 878 |
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| 879 |
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| 880 |
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| 881 |
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| 882 |
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| 883 |
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| 884 |
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| 885 |
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}
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| 886 |
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},
|
| 887 |
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{
|
| 888 |
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"model_id": "meta/llama-3.2-90b-vision-instruct-turbo",
|
| 889 |
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"name": "Llama 3.2 Vision Instruct Turbo 90B",
|
| 890 |
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|
| 891 |
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| 892 |
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| 893 |
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| 894 |
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| 895 |
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| 896 |
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| 897 |
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| 898 |
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| 899 |
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| 900 |
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| 901 |
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|
| 902 |
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}
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| 903 |
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},
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| 904 |
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{
|
| 905 |
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"model_id": "meta/llama-3.3-70b-instruct-turbo",
|
| 906 |
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"name": "Llama 3.3 Instruct Turbo 70B",
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| 907 |
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| 908 |
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| 909 |
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| 910 |
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|
| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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| 917 |
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| 918 |
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| 919 |
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}
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| 920 |
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},
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| 921 |
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{
|
| 922 |
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"model_id": "meta/llama-65b",
|
| 923 |
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"name": "LLaMA 65B",
|
| 924 |
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|
| 925 |
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| 926 |
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| 927 |
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| 928 |
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| 929 |
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| 930 |
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| 931 |
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| 932 |
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| 933 |
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| 934 |
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| 935 |
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|
| 936 |
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}
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| 937 |
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},
|
| 938 |
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{
|
| 939 |
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"model_id": "microsoft/phi-2",
|
| 940 |
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"name": "Phi-2",
|
| 941 |
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|
| 942 |
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| 943 |
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| 944 |
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| 945 |
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| 946 |
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| 947 |
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| 948 |
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| 949 |
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| 950 |
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| 951 |
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| 952 |
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|
| 953 |
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}
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| 954 |
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},
|
| 955 |
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{
|
| 956 |
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"model_id": "microsoft/phi-3-medium-4k-instruct",
|
| 957 |
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"name": "Phi-3 14B",
|
| 958 |
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|
| 959 |
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| 960 |
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|
| 961 |
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| 962 |
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|
| 963 |
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| 964 |
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|
| 965 |
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|
| 966 |
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| 967 |
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| 968 |
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|
| 969 |
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|
| 970 |
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}
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| 971 |
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},
|
| 972 |
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{
|
| 973 |
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"model_id": "microsoft/phi-3-small-8k-instruct",
|
| 974 |
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"name": "Phi-3 7B",
|
| 975 |
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|
| 976 |
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|
| 977 |
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|
| 978 |
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|
| 979 |
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|
| 980 |
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|
| 981 |
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|
| 982 |
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|
| 983 |
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| 984 |
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| 985 |
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|
| 986 |
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|
| 987 |
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}
|
| 988 |
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},
|
| 989 |
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{
|
| 990 |
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"model_id": "mistralai/mistral-7b-instruct-v0.3",
|
| 991 |
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"name": "Mistral Instruct v0.3 7B",
|
| 992 |
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"developer": "mistralai",
|
| 993 |
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| 994 |
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|
| 995 |
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|
| 996 |
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|
| 997 |
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|
| 998 |
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|
| 999 |
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"MATH": 0.289,
|
| 1000 |
+
"GSM8K": 0.538,
|
| 1001 |
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|
| 1002 |
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|
| 1003 |
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|
| 1004 |
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}
|
| 1005 |
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},
|
| 1006 |
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{
|
| 1007 |
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"model_id": "mistralai/mistral-7b-v0.1",
|
| 1008 |
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"name": "Mistral v0.1 7B",
|
| 1009 |
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"developer": "mistralai",
|
| 1010 |
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| 1011 |
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|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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|
| 1017 |
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|
| 1018 |
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|
| 1019 |
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|
| 1020 |
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"WMT 2014": 0.16
|
| 1021 |
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}
|
| 1022 |
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},
|
| 1023 |
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{
|
| 1024 |
+
"model_id": "mistralai/mistral-large-2402",
|
| 1025 |
+
"name": "Mistral Large 2402",
|
| 1026 |
+
"developer": "mistralai",
|
| 1027 |
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"scores": {
|
| 1028 |
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|
| 1029 |
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|
| 1030 |
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|
| 1031 |
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"OpenbookQA": 0.894,
|
| 1032 |
+
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|
| 1033 |
+
"MATH": 0.75,
|
| 1034 |
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"GSM8K": 0.694,
|
| 1035 |
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"LegalBench": 0.479,
|
| 1036 |
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"MedQA": 0.499,
|
| 1037 |
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"WMT 2014": 0.182
|
| 1038 |
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}
|
| 1039 |
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},
|
| 1040 |
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{
|
| 1041 |
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"model_id": "mistralai/mistral-large-2407",
|
| 1042 |
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"name": "Mistral Large 2 2407",
|
| 1043 |
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"developer": "mistralai",
|
| 1044 |
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| 1045 |
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|
| 1046 |
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|
| 1047 |
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|
| 1048 |
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|
| 1049 |
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|
| 1050 |
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|
| 1051 |
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|
| 1052 |
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|
| 1053 |
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|
| 1054 |
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|
| 1055 |
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}
|
| 1056 |
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},
|
| 1057 |
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{
|
| 1058 |
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"model_id": "mistralai/mistral-medium-2312",
|
| 1059 |
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"name": "Mistral Medium 2312",
|
| 1060 |
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"developer": "mistralai",
|
| 1061 |
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| 1062 |
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|
| 1063 |
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|
| 1064 |
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|
| 1065 |
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|
| 1066 |
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|
| 1067 |
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|
| 1068 |
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|
| 1069 |
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|
| 1070 |
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|
| 1071 |
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"WMT 2014": 0.169
|
| 1072 |
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}
|
| 1073 |
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},
|
| 1074 |
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{
|
| 1075 |
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"model_id": "mistralai/mistral-small-2402",
|
| 1076 |
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"name": "Mistral Small 2402",
|
| 1077 |
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"developer": "mistralai",
|
| 1078 |
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|
| 1079 |
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|
| 1080 |
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|
| 1081 |
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|
| 1082 |
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|
| 1083 |
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|
| 1084 |
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|
| 1085 |
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|
| 1086 |
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|
| 1087 |
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"MedQA": 0.616,
|
| 1088 |
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"WMT 2014": 0.169
|
| 1089 |
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}
|
| 1090 |
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},
|
| 1091 |
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{
|
| 1092 |
+
"model_id": "mistralai/mixtral-8x22b",
|
| 1093 |
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"name": "Mixtral 8x22B",
|
| 1094 |
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"developer": "mistralai",
|
| 1095 |
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"scores": {
|
| 1096 |
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"Mean win rate": 0.705,
|
| 1097 |
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|
| 1098 |
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|
| 1099 |
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"OpenbookQA": 0.882,
|
| 1100 |
+
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|
| 1101 |
+
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|
| 1102 |
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"GSM8K": 0.8,
|
| 1103 |
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|
| 1104 |
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|
| 1105 |
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"WMT 2014": 0.209
|
| 1106 |
+
}
|
| 1107 |
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},
|
| 1108 |
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{
|
| 1109 |
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"model_id": "mistralai/mixtral-8x7b-32kseqlen",
|
| 1110 |
+
"name": "Mixtral 8x7B 32K seqlen",
|
| 1111 |
+
"developer": "mistralai",
|
| 1112 |
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"scores": {
|
| 1113 |
+
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|
| 1114 |
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|
| 1115 |
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|
| 1116 |
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|
| 1117 |
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|
| 1118 |
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|
| 1119 |
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"GSM8K": 0.622,
|
| 1120 |
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"LegalBench": 0.63,
|
| 1121 |
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|
| 1122 |
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"WMT 2014": 0.19
|
| 1123 |
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}
|
| 1124 |
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},
|
| 1125 |
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{
|
| 1126 |
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"model_id": "mistralai/open-mistral-nemo-2407",
|
| 1127 |
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"name": "Mistral NeMo 2402",
|
| 1128 |
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| 1129 |
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| 1130 |
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| 1131 |
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| 1132 |
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| 1133 |
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| 1138 |
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| 1140 |
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| 1141 |
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| 1142 |
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{
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| 1143 |
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"model_id": "openai/gpt-3.5-turbo-0613",
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| 1144 |
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"name": "gpt-3.5-turbo-0613",
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| 1145 |
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| 1146 |
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| 1147 |
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| 1148 |
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| 1150 |
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| 1157 |
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}
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| 1158 |
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},
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| 1159 |
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{
|
| 1160 |
+
"model_id": "openai/gpt-4-0613",
|
| 1161 |
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"name": "GPT-4 0613",
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| 1162 |
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| 1163 |
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| 1164 |
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| 1165 |
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| 1166 |
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| 1167 |
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| 1168 |
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| 1174 |
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}
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| 1175 |
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},
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| 1176 |
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{
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| 1177 |
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"model_id": "openai/gpt-4-1106-preview",
|
| 1178 |
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"name": "GPT-4 Turbo 1106 preview",
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| 1179 |
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"developer": "openai",
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| 1180 |
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| 1181 |
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| 1182 |
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| 1184 |
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| 1187 |
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| 1191 |
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}
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| 1192 |
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},
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| 1193 |
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{
|
| 1194 |
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"model_id": "openai/gpt-4-turbo-2024-04-09",
|
| 1195 |
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"name": "GPT-4 Turbo 2024-04-09",
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| 1196 |
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| 1197 |
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| 1198 |
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| 1199 |
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| 1200 |
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| 1201 |
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}
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| 1209 |
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| 1210 |
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{
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| 1211 |
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"model_id": "openai/gpt-4o-2024-05-13",
|
| 1212 |
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"name": "GPT-4o 2024-05-13",
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| 1213 |
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| 1214 |
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| 1215 |
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| 1216 |
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| 1218 |
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| 1219 |
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| 1220 |
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| 1221 |
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| 1222 |
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| 1223 |
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| 1224 |
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| 1225 |
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| 1226 |
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| 1227 |
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{
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| 1228 |
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"model_id": "openai/gpt-4o-2024-08-06",
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| 1229 |
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"name": "GPT-4o 2024-08-06",
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| 1230 |
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| 1231 |
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| 1232 |
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| 1233 |
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| 1235 |
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| 1240 |
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| 1242 |
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| 1243 |
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| 1244 |
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{
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| 1245 |
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"model_id": "openai/gpt-4o-mini-2024-07-18",
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| 1246 |
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| 1247 |
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| 1248 |
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| 1249 |
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| 1250 |
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| 1252 |
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| 1255 |
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| 1260 |
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| 1261 |
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{
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| 1262 |
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"model_id": "openai/text-davinci-002",
|
| 1263 |
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"name": "text-davinci-002",
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| 1264 |
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| 1265 |
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| 1266 |
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| 1267 |
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| 1277 |
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| 1278 |
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{
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| 1279 |
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| 1280 |
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"name": "text-davinci-003",
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| 1281 |
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| 1282 |
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| 1283 |
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| 1294 |
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| 1295 |
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{
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| 1296 |
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| 1297 |
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"name": "Qwen1.5 Chat 110B",
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| 1298 |
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| 1299 |
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| 1300 |
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| 1301 |
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| 1302 |
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| 1303 |
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| 1310 |
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| 1311 |
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| 1312 |
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{
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| 1313 |
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| 1314 |
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"name": "Qwen1.5 14B",
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| 1315 |
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| 1316 |
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| 1317 |
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| 1318 |
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| 1320 |
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| 1321 |
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| 1328 |
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| 1329 |
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{
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| 1330 |
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| 1331 |
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| 1332 |
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| 1333 |
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| 1334 |
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| 1340 |
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| 1345 |
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| 1346 |
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{
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| 1348 |
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| 1349 |
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| 1350 |
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| 1351 |
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| 1360 |
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| 1361 |
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| 1362 |
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| 1363 |
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{
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| 1364 |
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| 1365 |
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"name": "Qwen1.5 7B",
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| 1366 |
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| 1367 |
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| 1368 |
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| 1369 |
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| 1372 |
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| 1374 |
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| 1378 |
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| 1379 |
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| 1380 |
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{
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| 1381 |
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| 1382 |
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"name": "Qwen2 Instruct 72B",
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| 1383 |
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| 1384 |
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| 1385 |
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| 1388 |
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| 1389 |
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| 1390 |
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| 1393 |
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| 1396 |
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| 1397 |
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{
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| 1398 |
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| 1399 |
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| 1400 |
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| 1401 |
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| 1402 |
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| 1406 |
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| 1410 |
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| 1411 |
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| 1412 |
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}
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| 1413 |
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| 1414 |
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| 1415 |
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| 1416 |
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| 1417 |
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| 1418 |
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| 1419 |
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| 1430 |
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| 1432 |
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| 1433 |
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| 1434 |
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| 1435 |
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| 1450 |
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| 1451 |
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| 1452 |
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| 1453 |
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| 1464 |
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| 1465 |
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| 1466 |
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| 1467 |
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| 1468 |
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| 1469 |
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| 1470 |
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| 1481 |
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| 1482 |
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| 1483 |
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| 1484 |
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| 1485 |
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| 1486 |
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| 1487 |
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| 1500 |
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|
| 1501 |
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"name": "Palmyra-X-004",
|
| 1502 |
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| 1503 |
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| 1504 |
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| 1515 |
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|
| 1517 |
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|
| 1518 |
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|
| 1519 |
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|
| 1520 |
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|
| 1521 |
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| 1522 |
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| 1523 |
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| 1524 |
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| 1526 |
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| 1527 |
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| 1528 |
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| 1529 |
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|
| 1530 |
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|
| 1531 |
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|
| 1532 |
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|
| 1533 |
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{
|
| 1534 |
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"model_id": "writer/palmyra-x-v3",
|
| 1535 |
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"name": "Palmyra X V3 72B",
|
| 1536 |
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|
| 1537 |
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"scores": {
|
| 1538 |
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|
| 1539 |
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|
| 1540 |
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|
| 1541 |
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|
| 1542 |
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|
| 1543 |
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| 1544 |
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| 1545 |
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| 1546 |
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|
| 1547 |
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|
| 1548 |
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|
| 1549 |
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|
| 1550 |
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|
| 1551 |
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}
|
data/benchmarks/helm_mmlu.json
ADDED
|
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See raw diff
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|
data/benchmarks/hfopenllm_v2.json
ADDED
|
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data/benchmarks/livecodebenchpro.json
ADDED
|
@@ -0,0 +1,274 @@
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"Easy Problems": 0.07042253521126761
|
| 201 |
+
}
|
| 202 |
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},
|
| 203 |
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{
|
| 204 |
+
"model_id": "openai/gpt-5-2025-08-07",
|
| 205 |
+
"name": "gpt-5-2025-08-07",
|
| 206 |
+
"developer": "openai",
|
| 207 |
+
"scores": {
|
| 208 |
+
"Hard Problems": 0.0423,
|
| 209 |
+
"Medium Problems": 0.4085,
|
| 210 |
+
"Easy Problems": 0.9014
|
| 211 |
+
}
|
| 212 |
+
},
|
| 213 |
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{
|
| 214 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 215 |
+
"name": "gpt-5.2-2025-12-11",
|
| 216 |
+
"developer": "OpenAI",
|
| 217 |
+
"scores": {
|
| 218 |
+
"Hard Problems": 0.1594,
|
| 219 |
+
"Medium Problems": 0.5211,
|
| 220 |
+
"Easy Problems": 0.9014
|
| 221 |
+
}
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"model_id": "openai/gpt-oss-120b",
|
| 225 |
+
"name": "gpt-oss-120b",
|
| 226 |
+
"developer": "openai",
|
| 227 |
+
"scores": {
|
| 228 |
+
"Hard Problems": 0.0,
|
| 229 |
+
"Medium Problems": 0.11267605633802817,
|
| 230 |
+
"Easy Problems": 0.6619718309859155
|
| 231 |
+
}
|
| 232 |
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},
|
| 233 |
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{
|
| 234 |
+
"model_id": "openai/gpt-oss-20b",
|
| 235 |
+
"name": "gpt-oss-20b",
|
| 236 |
+
"developer": "openai",
|
| 237 |
+
"scores": {
|
| 238 |
+
"Hard Problems": 0.0,
|
| 239 |
+
"Medium Problems": 0.056338028169014086,
|
| 240 |
+
"Easy Problems": 0.5070422535211268
|
| 241 |
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}
|
| 242 |
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},
|
| 243 |
+
{
|
| 244 |
+
"model_id": "openai/o3-2025-04-16",
|
| 245 |
+
"name": "o3 2025-04-16",
|
| 246 |
+
"developer": "openai",
|
| 247 |
+
"scores": {
|
| 248 |
+
"Hard Problems": 0.0,
|
| 249 |
+
"Medium Problems": 0.22535211267605634,
|
| 250 |
+
"Easy Problems": 0.7183098591549296
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"model_id": "openai/o4-mini-2025-04-16",
|
| 255 |
+
"name": "o4-mini-2025-04-16",
|
| 256 |
+
"developer": "openai",
|
| 257 |
+
"scores": {
|
| 258 |
+
"Hard Problems": 0.014084507042253521,
|
| 259 |
+
"Medium Problems": 0.30985915492957744,
|
| 260 |
+
"Easy Problems": 0.8873239436619719
|
| 261 |
+
}
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"model_id": "z-ai/glm-4.5",
|
| 265 |
+
"name": "z-ai/glm-4.5",
|
| 266 |
+
"developer": "Z.AI",
|
| 267 |
+
"scores": {
|
| 268 |
+
"Hard Problems": 0.0,
|
| 269 |
+
"Medium Problems": 0.028169014084507043,
|
| 270 |
+
"Easy Problems": 0.1267605633802817
|
| 271 |
+
}
|
| 272 |
+
}
|
| 273 |
+
]
|
| 274 |
+
}
|
data/benchmarks/reward-bench.json
ADDED
|
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|
|
|
data/benchmarks/swe-bench.json
ADDED
|
@@ -0,0 +1,28 @@
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"swe-bench": 0.6061
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"swe-bench": 0.7576
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"swe-bench": 0.57
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/tau-bench-2_airline.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"tau-bench-2/airline": 0.66
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"tau-bench-2/airline": 0.7
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"tau-bench-2/airline": 0.54
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/tau-bench-2_retail.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"tau-bench-2/retail": 0.83
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"tau-bench-2/retail": 0.7576
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"tau-bench-2/retail": 0.68
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/tau-bench-2_telecom.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "anthropic/claude-opus-4-5",
|
| 5 |
+
"name": "claude-opus-4-5",
|
| 6 |
+
"developer": "Anthropic",
|
| 7 |
+
"scores": {
|
| 8 |
+
"tau-bench-2/telecom": 0.76
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "google/gemini-3-pro-preview",
|
| 13 |
+
"name": "gemini-3-pro-preview",
|
| 14 |
+
"developer": "Google",
|
| 15 |
+
"scores": {
|
| 16 |
+
"tau-bench-2/telecom": 0.73
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "openai/gpt-5.2-2025-12-11",
|
| 21 |
+
"name": "gpt-5.2-2025-12-11",
|
| 22 |
+
"developer": "OpenAI",
|
| 23 |
+
"scores": {
|
| 24 |
+
"tau-bench-2/telecom": 0.5354
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
]
|
| 28 |
+
}
|
data/benchmarks/terminal-bench-2.0.json
ADDED
|
@@ -0,0 +1,300 @@
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"models": [
|
| 3 |
+
{
|
| 4 |
+
"model_id": "alibaba/qwen-3-coder-480b",
|
| 5 |
+
"name": "Qwen 3 Coder 480B",
|
| 6 |
+
"developer": "Alibaba",
|
| 7 |
+
"scores": {
|
| 8 |
+
"terminal-bench-2.0": 25.4
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"model_id": "anthropic/claude-haiku-4.5",
|
| 13 |
+
"name": "Claude Haiku 4.5",
|
| 14 |
+
"developer": "Anthropic",
|
| 15 |
+
"scores": {
|
| 16 |
+
"terminal-bench-2.0": 29.8
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"model_id": "anthropic/claude-opus-4.1",
|
| 21 |
+
"name": "Claude Opus 4.1",
|
| 22 |
+
"developer": "Anthropic",
|
| 23 |
+
"scores": {
|
| 24 |
+
"terminal-bench-2.0": 35.1
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"model_id": "anthropic/claude-opus-4.5",
|
| 29 |
+
"name": "Claude Opus 4.5",
|
| 30 |
+
"developer": "Anthropic",
|
| 31 |
+
"scores": {
|
| 32 |
+
"terminal-bench-2.0": 59.1
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"model_id": "anthropic/claude-opus-4.6",
|
| 37 |
+
"name": "Claude Opus 4.6",
|
| 38 |
+
"developer": "Anthropic",
|
| 39 |
+
"scores": {
|
| 40 |
+
"terminal-bench-2.0": 58.0
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"model_id": "anthropic/claude-sonnet-4.5",
|
| 45 |
+
"name": "Claude Sonnet 4.5",
|
| 46 |
+
"developer": "Anthropic",
|
| 47 |
+
"scores": {
|
| 48 |
+
"terminal-bench-2.0": 46.5
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"model_id": "deepseek/deepseek-v3.2",
|
| 53 |
+
"name": "DeepSeek-V3.2",
|
| 54 |
+
"developer": "DeepSeek",
|
| 55 |
+
"scores": {
|
| 56 |
+
"terminal-bench-2.0": 39.6
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"model_id": "google/gemini-2.5-flash",
|
| 61 |
+
"name": "gemini-2.5-flash",
|
| 62 |
+
"developer": "google",
|
| 63 |
+
"scores": {
|
| 64 |
+
"terminal-bench-2.0": 17.1
|
| 65 |
+
}
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"model_id": "google/gemini-2.5-pro",
|
| 69 |
+
"name": "gemini-2.5-pro",
|
| 70 |
+
"developer": "google",
|
| 71 |
+
"scores": {
|
| 72 |
+
"terminal-bench-2.0": 26.1
|
| 73 |
+
}
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"model_id": "google/gemini-3-flash",
|
| 77 |
+
"name": "Gemini 3 Flash",
|
| 78 |
+
"developer": "Google",
|
| 79 |
+
"scores": {
|
| 80 |
+
"terminal-bench-2.0": 64.3
|
| 81 |
+
}
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"model_id": "google/gemini-3-pro",
|
| 85 |
+
"name": "Gemini 3 Pro",
|
| 86 |
+
"developer": "Google",
|
| 87 |
+
"scores": {
|
| 88 |
+
"terminal-bench-2.0": 65.2
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"model_id": "google/gemini-3.1-pro",
|
| 93 |
+
"name": "Gemini 3.1 Pro",
|
| 94 |
+
"developer": "Google",
|
| 95 |
+
"scores": {
|
| 96 |
+
"terminal-bench-2.0": 74.8
|
| 97 |
+
}
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"model_id": "minimax/minimax-m2",
|
| 101 |
+
"name": "MiniMax M2",
|
| 102 |
+
"developer": "MiniMax",
|
| 103 |
+
"scores": {
|
| 104 |
+
"terminal-bench-2.0": 30.0
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"model_id": "minimax/minimax-m2.1",
|
| 109 |
+
"name": "MiniMax M2.1",
|
| 110 |
+
"developer": "MiniMax",
|
| 111 |
+
"scores": {
|
| 112 |
+
"terminal-bench-2.0": 36.6
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"model_id": "minimax/minimax-m2.5",
|
| 117 |
+
"name": "Minimax m2.5",
|
| 118 |
+
"developer": "Minimax",
|
| 119 |
+
"scores": {
|
| 120 |
+
"terminal-bench-2.0": 42.2
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"model_id": "moonshot-ai/kimi-k2-instruct",
|
| 125 |
+
"name": "Kimi K2 Instruct",
|
| 126 |
+
"developer": "Moonshot AI",
|
| 127 |
+
"scores": {
|
| 128 |
+
"terminal-bench-2.0": 27.8
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"model_id": "moonshot-ai/kimi-k2-thinking",
|
| 133 |
+
"name": "Kimi K2 Thinking",
|
| 134 |
+
"developer": "Moonshot AI",
|
| 135 |
+
"scores": {
|
| 136 |
+
"terminal-bench-2.0": 35.7
|
| 137 |
+
}
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"model_id": "moonshot-ai/kimi-k2.5",
|
| 141 |
+
"name": "Kimi K2.5",
|
| 142 |
+
"developer": "Kimi",
|
| 143 |
+
"scores": {
|
| 144 |
+
"terminal-bench-2.0": 43.2
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"model_id": "multiple/multiple",
|
| 149 |
+
"name": "Multiple",
|
| 150 |
+
"developer": "Multiple",
|
| 151 |
+
"scores": {
|
| 152 |
+
"terminal-bench-2.0": 59.1
|
| 153 |
+
}
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"model_id": "openai/gpt-5",
|
| 157 |
+
"name": "GPT-5",
|
| 158 |
+
"developer": "OpenAI",
|
| 159 |
+
"scores": {
|
| 160 |
+
"terminal-bench-2.0": 33.9
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"model_id": "openai/gpt-5-codex",
|
| 165 |
+
"name": "GPT-5-Codex",
|
| 166 |
+
"developer": "OpenAI",
|
| 167 |
+
"scores": {
|
| 168 |
+
"terminal-bench-2.0": 43.4
|
| 169 |
+
}
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"model_id": "openai/gpt-5-mini",
|
| 173 |
+
"name": "GPT-5-Mini",
|
| 174 |
+
"developer": "OpenAI",
|
| 175 |
+
"scores": {
|
| 176 |
+
"terminal-bench-2.0": 29.2
|
| 177 |
+
}
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"model_id": "openai/gpt-5-nano",
|
| 181 |
+
"name": "GPT-5-Nano",
|
| 182 |
+
"developer": "OpenAI",
|
| 183 |
+
"scores": {
|
| 184 |
+
"terminal-bench-2.0": 9.9
|
| 185 |
+
}
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"model_id": "openai/gpt-5.1",
|
| 189 |
+
"name": "GPT-5.1",
|
| 190 |
+
"developer": "OpenAI",
|
| 191 |
+
"scores": {
|
| 192 |
+
"terminal-bench-2.0": 47.6
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"model_id": "openai/gpt-5.1-codex",
|
| 197 |
+
"name": "GPT-5.1-Codex",
|
| 198 |
+
"developer": "OpenAI",
|
| 199 |
+
"scores": {
|
| 200 |
+
"terminal-bench-2.0": 57.8
|
| 201 |
+
}
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"model_id": "openai/gpt-5.1-codex-max",
|
| 205 |
+
"name": "GPT-5.1-Codex-Max",
|
| 206 |
+
"developer": "OpenAI",
|
| 207 |
+
"scores": {
|
| 208 |
+
"terminal-bench-2.0": 60.4
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"model_id": "openai/gpt-5.1-codex-mini",
|
| 213 |
+
"name": "GPT-5.1-Codex-Mini",
|
| 214 |
+
"developer": "OpenAI",
|
| 215 |
+
"scores": {
|
| 216 |
+
"terminal-bench-2.0": 43.1
|
| 217 |
+
}
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"model_id": "openai/gpt-5.2",
|
| 221 |
+
"name": "GPT-5.2",
|
| 222 |
+
"developer": "OpenAI",
|
| 223 |
+
"scores": {
|
| 224 |
+
"terminal-bench-2.0": 54.0
|
| 225 |
+
}
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"model_id": "openai/gpt-5.2-codex",
|
| 229 |
+
"name": "GPT-5.2-Codex",
|
| 230 |
+
"developer": "OpenAI",
|
| 231 |
+
"scores": {
|
| 232 |
+
"terminal-bench-2.0": 66.5
|
| 233 |
+
}
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"model_id": "openai/gpt-5.3-codex",
|
| 237 |
+
"name": "GPT-5.3-Codex",
|
| 238 |
+
"developer": "OpenAI",
|
| 239 |
+
"scores": {
|
| 240 |
+
"terminal-bench-2.0": 70.3
|
| 241 |
+
}
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"model_id": "openai/gpt-oss-120b",
|
| 245 |
+
"name": "gpt-oss-120b",
|
| 246 |
+
"developer": "openai",
|
| 247 |
+
"scores": {
|
| 248 |
+
"terminal-bench-2.0": 14.2
|
| 249 |
+
}
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"model_id": "openai/gpt-oss-20b",
|
| 253 |
+
"name": "gpt-oss-20b",
|
| 254 |
+
"developer": "openai",
|
| 255 |
+
"scores": {
|
| 256 |
+
"terminal-bench-2.0": 3.1
|
| 257 |
+
}
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"model_id": "xai/grok-4",
|
| 261 |
+
"name": "Grok 4",
|
| 262 |
+
"developer": "xAI",
|
| 263 |
+
"scores": {
|
| 264 |
+
"terminal-bench-2.0": 25.4
|
| 265 |
+
}
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"model_id": "xai/grok-code-fast-1",
|
| 269 |
+
"name": "Grok Code Fast 1",
|
| 270 |
+
"developer": "xAI",
|
| 271 |
+
"scores": {
|
| 272 |
+
"terminal-bench-2.0": 25.8
|
| 273 |
+
}
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"model_id": "zhipu-ai/glm-4.6",
|
| 277 |
+
"name": "GLM 4.6",
|
| 278 |
+
"developer": "Z.ai",
|
| 279 |
+
"scores": {
|
| 280 |
+
"terminal-bench-2.0": 24.5
|
| 281 |
+
}
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"model_id": "zhipu-ai/glm-4.7",
|
| 285 |
+
"name": "GLM 4.7",
|
| 286 |
+
"developer": "Z-AI",
|
| 287 |
+
"scores": {
|
| 288 |
+
"terminal-bench-2.0": 33.4
|
| 289 |
+
}
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"model_id": "zhipu-ai/glm-5",
|
| 293 |
+
"name": "GLM 5",
|
| 294 |
+
"developer": "Z-AI",
|
| 295 |
+
"scores": {
|
| 296 |
+
"terminal-bench-2.0": 52.4
|
| 297 |
+
}
|
| 298 |
+
}
|
| 299 |
+
]
|
| 300 |
+
}
|
data/developers/0-hero.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "0-hero",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "0-hero/Matter-0.1-7B-DPO-preview",
|
| 6 |
+
"name": "0-hero/Matter-0.1-7B-DPO-preview",
|
| 7 |
+
"developer": "0-hero",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"reward-bench/Score": 0.7247,
|
| 11 |
+
"reward-bench/Chat": 0.8939,
|
| 12 |
+
"reward-bench/Chat Hard": 0.5768,
|
| 13 |
+
"reward-bench/Safety": 0.6378,
|
| 14 |
+
"reward-bench/Reasoning": 0.8854,
|
| 15 |
+
"reward-bench/Prior Sets (0.5 weight)": 0.5348
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "0-hero/Matter-0.1-7B-boost-DPO-preview",
|
| 20 |
+
"name": "0-hero/Matter-0.1-7B-boost-DPO-preview",
|
| 21 |
+
"developer": "0-hero",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"reward-bench/Score": 0.7448,
|
| 25 |
+
"reward-bench/Chat": 0.9106,
|
| 26 |
+
"reward-bench/Chat Hard": 0.6096,
|
| 27 |
+
"reward-bench/Safety": 0.7135,
|
| 28 |
+
"reward-bench/Reasoning": 0.8395,
|
| 29 |
+
"reward-bench/Prior Sets (0.5 weight)": 0.5566
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "0-hero/Matter-0.2-7B-DPO",
|
| 34 |
+
"name": "Matter-0.2-7B-DPO",
|
| 35 |
+
"developer": "0-hero",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.3303,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.3596,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.0144,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.2592,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.3814,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.1164
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
]
|
| 47 |
+
}
|
data/developers/01-ai.json
ADDED
|
@@ -0,0 +1,433 @@
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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+
{
|
| 215 |
+
"id": "01-ai/Yi-6B-Chat",
|
| 216 |
+
"name": "Yi-6B-Chat",
|
| 217 |
+
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
+
}
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"id": "01-ai/Yi-9B",
|
| 230 |
+
"name": "Yi-9B",
|
| 231 |
+
"developer": "01-ai",
|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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}
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"id": "01-ai/Yi-9B-200K",
|
| 244 |
+
"name": "Yi-9B-200K",
|
| 245 |
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"developer": "01-ai",
|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
+
}
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"id": "01-ai/Yi-Coder-9B-Chat",
|
| 258 |
+
"name": "Yi-Coder-9B-Chat",
|
| 259 |
+
"developer": "01-ai",
|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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|
| 267 |
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|
| 268 |
+
}
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"id": "01-ai/yi-34b",
|
| 272 |
+
"name": "Yi 34B",
|
| 273 |
+
"developer": "01-ai",
|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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"helm_mmlu/Us Foreign Policy": 0.91,
|
| 297 |
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"helm_mmlu/Astronomy": 0.901,
|
| 298 |
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|
| 299 |
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"helm_mmlu/Clinical Knowledge": 0.8,
|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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"helm_mmlu/High School World History": 0.907,
|
| 305 |
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"helm_mmlu/Human Sexuality": 0.87,
|
| 306 |
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"helm_mmlu/International Law": 0.909,
|
| 307 |
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"helm_mmlu/Logical Fallacies": 0.883,
|
| 308 |
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"helm_mmlu/Machine Learning": 0.58,
|
| 309 |
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"helm_mmlu/Management": 0.893,
|
| 310 |
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"helm_mmlu/Marketing": 0.936,
|
| 311 |
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"helm_mmlu/Medical Genetics": 0.87,
|
| 312 |
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"helm_mmlu/Miscellaneous": 0.902,
|
| 313 |
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|
| 314 |
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"helm_mmlu/Nutrition": 0.869,
|
| 315 |
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"helm_mmlu/Prehistory": 0.877,
|
| 316 |
+
"helm_mmlu/Public Relations": 0.745,
|
| 317 |
+
"helm_mmlu/Security Studies": 0.833,
|
| 318 |
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"helm_mmlu/Sociology": 0.9,
|
| 319 |
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"helm_mmlu/Virology": 0.572,
|
| 320 |
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"helm_mmlu/World Religions": 0.877,
|
| 321 |
+
"helm_mmlu/Mean win rate": 0.315
|
| 322 |
+
}
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"id": "01-ai/yi-6b",
|
| 326 |
+
"name": "Yi 6B",
|
| 327 |
+
"developer": "01-ai",
|
| 328 |
+
"evaluator_relationship": null,
|
| 329 |
+
"benchmark_scores": {
|
| 330 |
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"helm_lite/Mean win rate": 0.253,
|
| 331 |
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|
| 332 |
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"helm_lite/NaturalQuestions (closed-book)": 0.31,
|
| 333 |
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|
| 334 |
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|
| 335 |
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"helm_lite/MATH": 0.126,
|
| 336 |
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"helm_lite/GSM8K": 0.375,
|
| 337 |
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"helm_lite/LegalBench": 0.519,
|
| 338 |
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"helm_lite/MedQA": 0.497,
|
| 339 |
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"helm_lite/WMT 2014": 0.117,
|
| 340 |
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"helm_mmlu/MMLU All Subjects": 0.64,
|
| 341 |
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|
| 342 |
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"helm_mmlu/Anatomy": 0.6,
|
| 343 |
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|
| 344 |
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|
| 345 |
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"helm_mmlu/Econometrics": 0.351,
|
| 346 |
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"helm_mmlu/Global Facts": 0.43,
|
| 347 |
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"helm_mmlu/Jurisprudence": 0.796,
|
| 348 |
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"helm_mmlu/Philosophy": 0.678,
|
| 349 |
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"helm_mmlu/Professional Psychology": 0.668,
|
| 350 |
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"helm_mmlu/Us Foreign Policy": 0.87,
|
| 351 |
+
"helm_mmlu/Astronomy": 0.684,
|
| 352 |
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"helm_mmlu/Business Ethics": 0.67,
|
| 353 |
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"helm_mmlu/Clinical Knowledge": 0.66,
|
| 354 |
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"helm_mmlu/Conceptual Physics": 0.621,
|
| 355 |
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"helm_mmlu/Electrical Engineering": 0.662,
|
| 356 |
+
"helm_mmlu/Elementary Mathematics": 0.452,
|
| 357 |
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"helm_mmlu/Formal Logic": 0.452,
|
| 358 |
+
"helm_mmlu/High School World History": 0.785,
|
| 359 |
+
"helm_mmlu/Human Sexuality": 0.763,
|
| 360 |
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"helm_mmlu/International Law": 0.769,
|
| 361 |
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"helm_mmlu/Logical Fallacies": 0.779,
|
| 362 |
+
"helm_mmlu/Machine Learning": 0.411,
|
| 363 |
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"helm_mmlu/Management": 0.806,
|
| 364 |
+
"helm_mmlu/Marketing": 0.893,
|
| 365 |
+
"helm_mmlu/Medical Genetics": 0.77,
|
| 366 |
+
"helm_mmlu/Miscellaneous": 0.796,
|
| 367 |
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"helm_mmlu/Moral Scenarios": 0.335,
|
| 368 |
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"helm_mmlu/Nutrition": 0.739,
|
| 369 |
+
"helm_mmlu/Prehistory": 0.713,
|
| 370 |
+
"helm_mmlu/Public Relations": 0.718,
|
| 371 |
+
"helm_mmlu/Security Studies": 0.735,
|
| 372 |
+
"helm_mmlu/Sociology": 0.831,
|
| 373 |
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"helm_mmlu/Virology": 0.452,
|
| 374 |
+
"helm_mmlu/World Religions": 0.836,
|
| 375 |
+
"helm_mmlu/Mean win rate": 0.651
|
| 376 |
+
}
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"id": "01-ai/yi-large-preview",
|
| 380 |
+
"name": "Yi Large Preview",
|
| 381 |
+
"developer": "01-ai",
|
| 382 |
+
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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"helm_lite/NaturalQuestions (closed-book)": 0.428,
|
| 387 |
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"helm_lite/OpenbookQA": 0.946,
|
| 388 |
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"helm_lite/MMLU": 0.712,
|
| 389 |
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"helm_lite/MATH": 0.712,
|
| 390 |
+
"helm_lite/GSM8K": 0.69,
|
| 391 |
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"helm_lite/LegalBench": 0.519,
|
| 392 |
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"helm_lite/MedQA": 0.66,
|
| 393 |
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"helm_lite/WMT 2014": 0.176,
|
| 394 |
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"helm_mmlu/MMLU All Subjects": 0.793,
|
| 395 |
+
"helm_mmlu/Abstract Algebra": 0.6,
|
| 396 |
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"helm_mmlu/Anatomy": 0.83,
|
| 397 |
+
"helm_mmlu/College Physics": 0.569,
|
| 398 |
+
"helm_mmlu/Computer Security": 0.86,
|
| 399 |
+
"helm_mmlu/Econometrics": 0.728,
|
| 400 |
+
"helm_mmlu/Global Facts": 0.52,
|
| 401 |
+
"helm_mmlu/Jurisprudence": 0.852,
|
| 402 |
+
"helm_mmlu/Philosophy": 0.842,
|
| 403 |
+
"helm_mmlu/Professional Psychology": 0.853,
|
| 404 |
+
"helm_mmlu/Us Foreign Policy": 0.85,
|
| 405 |
+
"helm_mmlu/Astronomy": 0.914,
|
| 406 |
+
"helm_mmlu/Business Ethics": 0.8,
|
| 407 |
+
"helm_mmlu/Clinical Knowledge": 0.857,
|
| 408 |
+
"helm_mmlu/Conceptual Physics": 0.864,
|
| 409 |
+
"helm_mmlu/Electrical Engineering": 0.779,
|
| 410 |
+
"helm_mmlu/Elementary Mathematics": 0.685,
|
| 411 |
+
"helm_mmlu/Formal Logic": 0.603,
|
| 412 |
+
"helm_mmlu/High School World History": 0.928,
|
| 413 |
+
"helm_mmlu/Human Sexuality": 0.901,
|
| 414 |
+
"helm_mmlu/International Law": 0.917,
|
| 415 |
+
"helm_mmlu/Logical Fallacies": 0.865,
|
| 416 |
+
"helm_mmlu/Machine Learning": 0.616,
|
| 417 |
+
"helm_mmlu/Management": 0.903,
|
| 418 |
+
"helm_mmlu/Marketing": 0.927,
|
| 419 |
+
"helm_mmlu/Medical Genetics": 0.83,
|
| 420 |
+
"helm_mmlu/Miscellaneous": 0.916,
|
| 421 |
+
"helm_mmlu/Moral Scenarios": 0.831,
|
| 422 |
+
"helm_mmlu/Nutrition": 0.846,
|
| 423 |
+
"helm_mmlu/Prehistory": 0.892,
|
| 424 |
+
"helm_mmlu/Public Relations": 0.827,
|
| 425 |
+
"helm_mmlu/Security Studies": 0.82,
|
| 426 |
+
"helm_mmlu/Sociology": 0.881,
|
| 427 |
+
"helm_mmlu/Virology": 0.59,
|
| 428 |
+
"helm_mmlu/World Religions": 0.871,
|
| 429 |
+
"helm_mmlu/Mean win rate": 0.258
|
| 430 |
+
}
|
| 431 |
+
}
|
| 432 |
+
]
|
| 433 |
+
}
|
data/developers/1-800-LLMs.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "1-800-LLMs",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "1-800-LLMs/Qwen-2.5-14B-Hindi",
|
| 6 |
+
"name": "Qwen-2.5-14B-Hindi",
|
| 7 |
+
"developer": "1-800-LLMs",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.5826,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.6524,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.3331,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3624,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4489,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.5263
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "1-800-LLMs/Qwen-2.5-14B-Hindi-Custom-Instruct",
|
| 20 |
+
"name": "Qwen-2.5-14B-Hindi-Custom-Instruct",
|
| 21 |
+
"developer": "1-800-LLMs",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.3077,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.6284,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.3112,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.37,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.4491,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.5164
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/1024m.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "1024m",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "1024m/PHI-4-Hindi",
|
| 6 |
+
"name": "PHI-4-Hindi",
|
| 7 |
+
"developer": "1024m",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.0082,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.671,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2334,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3977,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4914,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.5239
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "1024m/QWEN-14B-B100",
|
| 20 |
+
"name": "QWEN-14B-B100",
|
| 21 |
+
"developer": "1024m",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.7762,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.6533,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.5438,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.3507,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.41,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.5179
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/152334H.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "152334H",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "152334H/miqu-1-70b-sf",
|
| 6 |
+
"name": "miqu-1-70b-sf",
|
| 7 |
+
"developer": "152334H",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.5182,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.6102,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.1246,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3507,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4582,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.4228
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/1TuanPham.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "1TuanPham",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "1TuanPham/T-VisStar-7B-v0.1",
|
| 6 |
+
"name": "T-VisStar-7B-v0.1",
|
| 7 |
+
"developer": "1TuanPham",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3607,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.5052,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0574,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2852,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4375,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3211
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "1TuanPham/T-VisStar-v0.1",
|
| 20 |
+
"name": "T-VisStar-v0.1",
|
| 21 |
+
"developer": "1TuanPham",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.3607,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.5052,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.0574,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2852,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.4375,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3211
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/3rd-Degree-Burn.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "3rd-Degree-Burn",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "3rd-Degree-Burn/L-3.1-Science-Writer-8B",
|
| 6 |
+
"name": "L-3.1-Science-Writer-8B",
|
| 7 |
+
"developer": "3rd-Degree-Burn",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.4263,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.5041,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.1035,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2743,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3959,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3649
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot",
|
| 20 |
+
"name": "Llama-3.1-8B-Squareroot",
|
| 21 |
+
"developer": "3rd-Degree-Burn",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.2213,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.3461,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.2659,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2567,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3089,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.175
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v1",
|
| 34 |
+
"name": "Llama-3.1-8B-Squareroot-v1",
|
| 35 |
+
"developer": "3rd-Degree-Burn",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.2892,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.3343,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.0884,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.2559,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.3341,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.1127
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "3rd-Degree-Burn/Llama-Squared-8B",
|
| 48 |
+
"name": "Llama-Squared-8B",
|
| 49 |
+
"developer": "3rd-Degree-Burn",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
+
"hfopenllm_v2/IFEval": 0.2755,
|
| 53 |
+
"hfopenllm_v2/BBH": 0.4431,
|
| 54 |
+
"hfopenllm_v2/MATH Level 5": 0.0574,
|
| 55 |
+
"hfopenllm_v2/GPQA": 0.2718,
|
| 56 |
+
"hfopenllm_v2/MUSR": 0.3089,
|
| 57 |
+
"hfopenllm_v2/MMLU-PRO": 0.2366
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
]
|
| 61 |
+
}
|
data/developers/4season.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "4season",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "4season/final_model_test_v2",
|
| 6 |
+
"name": "final_model_test_v2",
|
| 7 |
+
"developer": "4season",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3191,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.6342,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0838,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3272,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4314,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3528
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/AALF.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AALF",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AALF/FuseChat-Llama-3.1-8B-Instruct-preview",
|
| 6 |
+
"name": "FuseChat-Llama-3.1-8B-Instruct-preview",
|
| 7 |
+
"developer": "AALF",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.719,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.512,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2477,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3054,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.382,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3733
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AALF/FuseChat-Llama-3.1-8B-SFT-preview",
|
| 20 |
+
"name": "FuseChat-Llama-3.1-8B-SFT-preview",
|
| 21 |
+
"developer": "AALF",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.7281,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.524,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.2251,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.3045,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.402,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3743
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "AALF/gemma-2-27b-it-SimPO-37K",
|
| 34 |
+
"name": "gemma-2-27b-it-SimPO-37K",
|
| 35 |
+
"developer": "AALF",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.2407,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.3911,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.0128,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.2802,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.3488,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.1971
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "AALF/gemma-2-27b-it-SimPO-37K-100steps",
|
| 48 |
+
"name": "gemma-2-27b-it-SimPO-37K-100steps",
|
| 49 |
+
"developer": "AALF",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
+
"hfopenllm_v2/IFEval": 0.2568,
|
| 53 |
+
"hfopenllm_v2/BBH": 0.3931,
|
| 54 |
+
"hfopenllm_v2/MATH Level 5": 0.0211,
|
| 55 |
+
"hfopenllm_v2/GPQA": 0.2886,
|
| 56 |
+
"hfopenllm_v2/MUSR": 0.3329,
|
| 57 |
+
"hfopenllm_v2/MMLU-PRO": 0.2125
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
]
|
| 61 |
+
}
|
data/developers/AELLM.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AELLM",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AELLM/gemma-2-aeria-infinity-9b",
|
| 6 |
+
"name": "gemma-2-aeria-infinity-9b",
|
| 7 |
+
"developer": "AELLM",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.7594,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.5983,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2145,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3339,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.402,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3862
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AELLM/gemma-2-lyco-infinity-9b",
|
| 20 |
+
"name": "gemma-2-lyco-infinity-9b",
|
| 21 |
+
"developer": "AELLM",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.7316,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.584,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.1707,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.328,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.4006,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3787
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/AGI-0.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AGI-0",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AGI-0/Art-v0-3B",
|
| 6 |
+
"name": "Art-v0-3B",
|
| 7 |
+
"developer": "AGI-0",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3192,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.3401,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2462,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2592,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3768,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.1179
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AGI-0/Artificium-llama3.1-8B-001",
|
| 20 |
+
"name": "Artificium-llama3.1-8B-001",
|
| 21 |
+
"developer": "AGI-0",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.5248,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.4256,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.136,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2659,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3795,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3182
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "AGI-0/smartllama3.1-8B-001",
|
| 34 |
+
"name": "smartllama3.1-8B-001",
|
| 35 |
+
"developer": "AGI-0",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.3518,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.467,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.1299,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.3062,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.4386,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.3487
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
]
|
| 47 |
+
}
|
data/developers/AI-MO.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AI-MO",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AI-MO/NuminaMath-7B-CoT",
|
| 6 |
+
"name": "NuminaMath-7B-CoT",
|
| 7 |
+
"developer": "AI-MO",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.2689,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4314,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2696,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2659,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3303,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.2868
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AI-MO/NuminaMath-7B-TIR",
|
| 20 |
+
"name": "NuminaMath-7B-TIR",
|
| 21 |
+
"developer": "AI-MO",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.2756,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.4144,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.1609,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2584,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3509,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.2733
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/AI-Sweden-Models.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AI-Sweden-Models",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AI-Sweden-Models/Llama-3-8B-instruct",
|
| 6 |
+
"name": "Llama-3-8B-instruct",
|
| 7 |
+
"developer": "AI-Sweden-Models",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.2401,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4173,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0385,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2659,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4771,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.2597
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AI-Sweden-Models/gpt-sw3-40b",
|
| 20 |
+
"name": "gpt-sw3-40b",
|
| 21 |
+
"developer": "AI-Sweden-Models",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.147,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.3268,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.0174,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2349,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3632,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.1276
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/AI4free.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AI4free",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AI4free/Dhanishtha",
|
| 6 |
+
"name": "Dhanishtha",
|
| 7 |
+
"developer": "AI4free",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.2451,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.3404,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.256,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2525,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3569,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.1643
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AI4free/t2",
|
| 20 |
+
"name": "t2",
|
| 21 |
+
"developer": "AI4free",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.3867,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.291,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.1896,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2576,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3846,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.1144
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/AIDC-AI.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AIDC-AI",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AIDC-AI/Marco-o1",
|
| 6 |
+
"name": "Marco-o1",
|
| 7 |
+
"developer": "AIDC-AI",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.4771,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.5364,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.3746,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2592,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4138,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.4117
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/Aashraf995.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Aashraf995",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Aashraf995/Creative-7B-nerd",
|
| 6 |
+
"name": "Creative-7B-nerd",
|
| 7 |
+
"developer": "Aashraf995",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.4722,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.5607,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.3165,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3263,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4515,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.4492
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Aashraf995/Gemma-Evo-10B",
|
| 20 |
+
"name": "Gemma-Evo-10B",
|
| 21 |
+
"developer": "Aashraf995",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.7332,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.6044,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.2228,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.354,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.4595,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.4275
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "Aashraf995/Qwen-Evo-7B",
|
| 34 |
+
"name": "Qwen-Evo-7B",
|
| 35 |
+
"developer": "Aashraf995",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.4757,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.5709,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.3142,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.3255,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.4541,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.4462
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "Aashraf995/QwenStock-14B",
|
| 48 |
+
"name": "QwenStock-14B",
|
| 49 |
+
"developer": "Aashraf995",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
+
"hfopenllm_v2/IFEval": 0.5009,
|
| 53 |
+
"hfopenllm_v2/BBH": 0.655,
|
| 54 |
+
"hfopenllm_v2/MATH Level 5": 0.3573,
|
| 55 |
+
"hfopenllm_v2/GPQA": 0.3893,
|
| 56 |
+
"hfopenllm_v2/MUSR": 0.4793,
|
| 57 |
+
"hfopenllm_v2/MMLU-PRO": 0.5382
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
]
|
| 61 |
+
}
|
data/developers/AbacusResearch.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AbacusResearch",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AbacusResearch/Jallabi-34B",
|
| 6 |
+
"name": "Jallabi-34B",
|
| 7 |
+
"developer": "AbacusResearch",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3529,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.6023,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0521,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3389,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4822,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.4682
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/Ahdoot.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Ahdoot",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Ahdoot/StructuredThinker-v0.3-MoreStructure",
|
| 6 |
+
"name": "StructuredThinker-v0.3-MoreStructure",
|
| 7 |
+
"developer": "Ahdoot",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.4193,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4838,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.2908,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.297,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4158,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.361
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Ahdoot/Test_StealthThinker",
|
| 20 |
+
"name": "Test_StealthThinker",
|
| 21 |
+
"developer": "Ahdoot",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.422,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.4647,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.179,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2961,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.428,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3597
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/Ahjeong.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Ahjeong",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Ahjeong/MMPO_Gemma_7b",
|
| 6 |
+
"name": "Ahjeong/MMPO_Gemma_7b",
|
| 7 |
+
"developer": "Ahjeong",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"reward-bench/Score": 0.7587,
|
| 11 |
+
"reward-bench/Chat": 0.9693,
|
| 12 |
+
"reward-bench/Chat Hard": 0.614,
|
| 13 |
+
"reward-bench/Safety": 0.7135,
|
| 14 |
+
"reward-bench/Reasoning": 0.7756,
|
| 15 |
+
"reward-bench/Prior Sets (0.5 weight)": 0.6831
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Ahjeong/MMPO_Gemma_7b_gamma1.1_epoch3",
|
| 20 |
+
"name": "Ahjeong/MMPO_Gemma_7b_gamma1.1_epoch3",
|
| 21 |
+
"developer": "Ahjeong",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"reward-bench/Score": 0.7652,
|
| 25 |
+
"reward-bench/Chat": 0.9721,
|
| 26 |
+
"reward-bench/Chat Hard": 0.6338,
|
| 27 |
+
"reward-bench/Safety": 0.7635,
|
| 28 |
+
"reward-bench/Reasoning": 0.7284,
|
| 29 |
+
"reward-bench/Prior Sets (0.5 weight)": 0.6913
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/AicoresSecurity.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AicoresSecurity",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0",
|
| 6 |
+
"name": "Cybernet-Sec-3B-R1-V0",
|
| 7 |
+
"developer": "AicoresSecurity",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.6358,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4497,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.1156,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2634,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3314,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.301
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "AicoresSecurity/Cybernet-Sec-3B-R1-V0-Coder",
|
| 20 |
+
"name": "Cybernet-Sec-3B-R1-V0-Coder",
|
| 21 |
+
"developer": "AicoresSecurity",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.7098,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.4478,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.1488,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2718,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3408,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3178
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1",
|
| 34 |
+
"name": "Cybernet-Sec-3B-R1-V1",
|
| 35 |
+
"developer": "AicoresSecurity",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.6146,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.4282,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.1518,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.2609,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.3287,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.2876
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "AicoresSecurity/Cybernet-Sec-3B-R1-V1.1",
|
| 48 |
+
"name": "Cybernet-Sec-3B-R1-V1.1",
|
| 49 |
+
"developer": "AicoresSecurity",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
+
"hfopenllm_v2/IFEval": 0.673,
|
| 53 |
+
"hfopenllm_v2/BBH": 0.4392,
|
| 54 |
+
"hfopenllm_v2/MATH Level 5": 0.176,
|
| 55 |
+
"hfopenllm_v2/GPQA": 0.271,
|
| 56 |
+
"hfopenllm_v2/MUSR": 0.3541,
|
| 57 |
+
"hfopenllm_v2/MMLU-PRO": 0.3088
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
]
|
| 61 |
+
}
|
data/developers/Alepach.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Alepach",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Alepach/notHumpback-M0",
|
| 6 |
+
"name": "notHumpback-M0",
|
| 7 |
+
"developer": "Alepach",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.235,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.2785,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0189,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2492,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3552,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.1119
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Alepach/notHumpback-M1",
|
| 20 |
+
"name": "notHumpback-M1",
|
| 21 |
+
"developer": "Alepach",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.2207,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.2882,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.0159,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2374,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.342,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.1091
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "Alepach/notHumpback-M1-v2",
|
| 34 |
+
"name": "notHumpback-M1-v2",
|
| 35 |
+
"developer": "Alepach",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.2277,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.2776,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.0219,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.2601,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.3473,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.1119
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
]
|
| 47 |
+
}
|
data/developers/AlephAlpha.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "AlephAlpha",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "AlephAlpha/luminous-base",
|
| 6 |
+
"name": "Luminous Base 13B",
|
| 7 |
+
"developer": "AlephAlpha",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"helm_lite/Mean win rate": 0.041,
|
| 11 |
+
"helm_lite/NarrativeQA": 0.633,
|
| 12 |
+
"helm_lite/NaturalQuestions (closed-book)": 0.197,
|
| 13 |
+
"helm_lite/OpenbookQA": 0.286,
|
| 14 |
+
"helm_lite/MMLU": 0.243,
|
| 15 |
+
"helm_lite/MATH": 0.026,
|
| 16 |
+
"helm_lite/GSM8K": 0.028,
|
| 17 |
+
"helm_lite/LegalBench": 0.332,
|
| 18 |
+
"helm_lite/MedQA": 0.26,
|
| 19 |
+
"helm_lite/WMT 2014": 0.066
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"id": "AlephAlpha/luminous-extended",
|
| 24 |
+
"name": "Luminous Extended 30B",
|
| 25 |
+
"developer": "AlephAlpha",
|
| 26 |
+
"evaluator_relationship": null,
|
| 27 |
+
"benchmark_scores": {
|
| 28 |
+
"helm_lite/Mean win rate": 0.078,
|
| 29 |
+
"helm_lite/NarrativeQA": 0.684,
|
| 30 |
+
"helm_lite/NaturalQuestions (closed-book)": 0.253,
|
| 31 |
+
"helm_lite/OpenbookQA": 0.272,
|
| 32 |
+
"helm_lite/MMLU": 0.248,
|
| 33 |
+
"helm_lite/MATH": 0.04,
|
| 34 |
+
"helm_lite/GSM8K": 0.075,
|
| 35 |
+
"helm_lite/LegalBench": 0.421,
|
| 36 |
+
"helm_lite/MedQA": 0.276,
|
| 37 |
+
"helm_lite/WMT 2014": 0.083
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"id": "AlephAlpha/luminous-supreme",
|
| 42 |
+
"name": "Luminous Supreme 70B",
|
| 43 |
+
"developer": "AlephAlpha",
|
| 44 |
+
"evaluator_relationship": null,
|
| 45 |
+
"benchmark_scores": {
|
| 46 |
+
"helm_lite/Mean win rate": 0.145,
|
| 47 |
+
"helm_lite/NarrativeQA": 0.743,
|
| 48 |
+
"helm_lite/NaturalQuestions (closed-book)": 0.299,
|
| 49 |
+
"helm_lite/OpenbookQA": 0.284,
|
| 50 |
+
"helm_lite/MMLU": 0.316,
|
| 51 |
+
"helm_lite/MATH": 0.078,
|
| 52 |
+
"helm_lite/GSM8K": 0.137,
|
| 53 |
+
"helm_lite/LegalBench": 0.452,
|
| 54 |
+
"helm_lite/MedQA": 0.276,
|
| 55 |
+
"helm_lite/WMT 2014": 0.102
|
| 56 |
+
}
|
| 57 |
+
}
|
| 58 |
+
]
|
| 59 |
+
}
|
data/developers/Alibaba-NLP.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Alibaba-NLP",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Alibaba-NLP/gte-Qwen2-7B-instruct",
|
| 6 |
+
"name": "gte-Qwen2-7B-instruct",
|
| 7 |
+
"developer": "Alibaba-NLP",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.2255,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4495,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0642,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.245,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3559,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3321
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/Alibaba.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Alibaba",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "alibaba/qwen-3-coder-480b",
|
| 6 |
+
"name": "Qwen 3 Coder 480B",
|
| 7 |
+
"developer": "Alibaba",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"terminal-bench-2.0/terminal-bench-2.0": 23.9
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"id": "alibaba/qwen3-235b-a22b-thinking-2507",
|
| 15 |
+
"name": "qwen3-235b-a22b-thinking-2507",
|
| 16 |
+
"developer": "Alibaba",
|
| 17 |
+
"evaluator_relationship": null,
|
| 18 |
+
"benchmark_scores": {
|
| 19 |
+
"livecodebenchpro/Hard Problems": 0.0,
|
| 20 |
+
"livecodebenchpro/Medium Problems": 0.1267605633802817,
|
| 21 |
+
"livecodebenchpro/Easy Problems": 0.7605633802816901
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": "alibaba/qwen3-30b-a3b",
|
| 26 |
+
"name": "qwen3-30b-a3b",
|
| 27 |
+
"developer": "Alibaba",
|
| 28 |
+
"evaluator_relationship": null,
|
| 29 |
+
"benchmark_scores": {
|
| 30 |
+
"livecodebenchpro/Hard Problems": 0.0,
|
| 31 |
+
"livecodebenchpro/Medium Problems": 0.028169014084507043,
|
| 32 |
+
"livecodebenchpro/Easy Problems": 0.5774647887323944
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"id": "alibaba/qwen3-max",
|
| 37 |
+
"name": "alibaba/qwen3-max",
|
| 38 |
+
"developer": "Alibaba",
|
| 39 |
+
"evaluator_relationship": null,
|
| 40 |
+
"benchmark_scores": {
|
| 41 |
+
"livecodebenchpro/Hard Problems": 0.0,
|
| 42 |
+
"livecodebenchpro/Medium Problems": 0.04225352112676056,
|
| 43 |
+
"livecodebenchpro/Easy Problems": 0.36619718309859156
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "alibaba/qwen3-next-80b-a3b-thinking",
|
| 48 |
+
"name": "qwen3-next-80b-a3b-thinking",
|
| 49 |
+
"developer": "Alibaba",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
+
"livecodebenchpro/Hard Problems": 0.0,
|
| 53 |
+
"livecodebenchpro/Medium Problems": 0.14084507042253522,
|
| 54 |
+
"livecodebenchpro/Easy Problems": 0.7464788732394366
|
| 55 |
+
}
|
| 56 |
+
}
|
| 57 |
+
]
|
| 58 |
+
}
|
data/developers/Alsebay.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Alsebay",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Alsebay/Qwen2.5-7B-test-novelist",
|
| 6 |
+
"name": "Qwen2.5-7B-test-novelist",
|
| 7 |
+
"developer": "Alsebay",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.5352,
|
| 11 |
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"hfopenllm_v2/BBH": 0.5151,
|
| 12 |
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"hfopenllm_v2/MATH Level 5": 0.2349,
|
| 13 |
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"hfopenllm_v2/GPQA": 0.2911,
|
| 14 |
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"hfopenllm_v2/MUSR": 0.4749,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3866
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/Amaorynho.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Amaorynho",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Amaorynho/BBAI2006",
|
| 6 |
+
"name": "BBAI2006",
|
| 7 |
+
"developer": "Amaorynho",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.1467,
|
| 11 |
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"hfopenllm_v2/BBH": 0.2704,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2525,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3605,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.1123
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Amaorynho/BBAI270V4",
|
| 20 |
+
"name": "BBAI270V4",
|
| 21 |
+
"developer": "Amaorynho",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.199,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.3071,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.0083,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2458,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3314,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.1114
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"id": "Amaorynho/BBAIIFEV1",
|
| 34 |
+
"name": "BBAIIFEV1",
|
| 35 |
+
"developer": "Amaorynho",
|
| 36 |
+
"evaluator_relationship": null,
|
| 37 |
+
"benchmark_scores": {
|
| 38 |
+
"hfopenllm_v2/IFEval": 0.8047,
|
| 39 |
+
"hfopenllm_v2/BBH": 0.5292,
|
| 40 |
+
"hfopenllm_v2/MATH Level 5": 0.1934,
|
| 41 |
+
"hfopenllm_v2/GPQA": 0.3104,
|
| 42 |
+
"hfopenllm_v2/MUSR": 0.4185,
|
| 43 |
+
"hfopenllm_v2/MMLU-PRO": 0.3857
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"id": "Amaorynho/BBAI_375",
|
| 48 |
+
"name": "BBAI_375",
|
| 49 |
+
"developer": "Amaorynho",
|
| 50 |
+
"evaluator_relationship": null,
|
| 51 |
+
"benchmark_scores": {
|
| 52 |
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"hfopenllm_v2/IFEval": 0.1467,
|
| 53 |
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"hfopenllm_v2/BBH": 0.2704,
|
| 54 |
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"hfopenllm_v2/MATH Level 5": 0.0,
|
| 55 |
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"hfopenllm_v2/GPQA": 0.2525,
|
| 56 |
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"hfopenllm_v2/MUSR": 0.3605,
|
| 57 |
+
"hfopenllm_v2/MMLU-PRO": 0.1123
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
]
|
| 61 |
+
}
|
data/developers/Amu.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Amu",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Amu/t1-1.5B",
|
| 6 |
+
"name": "t1-1.5B",
|
| 7 |
+
"developer": "Amu",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3394,
|
| 11 |
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"hfopenllm_v2/BBH": 0.4008,
|
| 12 |
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"hfopenllm_v2/MATH Level 5": 0.0514,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2433,
|
| 14 |
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"hfopenllm_v2/MUSR": 0.3517,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.2566
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Amu/t1-3B",
|
| 20 |
+
"name": "t1-3B",
|
| 21 |
+
"developer": "Amu",
|
| 22 |
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"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
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"hfopenllm_v2/IFEval": 0.3328,
|
| 25 |
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"hfopenllm_v2/BBH": 0.3999,
|
| 26 |
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"hfopenllm_v2/MATH Level 5": 0.1375,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2408,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3435,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.1284
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/Anthropic.json
ADDED
|
@@ -0,0 +1,129 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Anthropic",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Anthropic/claude-3-5-sonnet-20240620",
|
| 6 |
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"name": "Anthropic/claude-3-5-sonnet-20240620",
|
| 7 |
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"developer": "Anthropic",
|
| 8 |
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"evaluator_relationship": null,
|
| 9 |
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"benchmark_scores": {
|
| 10 |
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"reward-bench/Score": 0.8417,
|
| 11 |
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"reward-bench/Chat": 0.9637,
|
| 12 |
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"reward-bench/Chat Hard": 0.7401,
|
| 13 |
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"reward-bench/Safety": 0.8162,
|
| 14 |
+
"reward-bench/Reasoning": 0.8469
|
| 15 |
+
}
|
| 16 |
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},
|
| 17 |
+
{
|
| 18 |
+
"id": "Anthropic/claude-3-haiku-20240307",
|
| 19 |
+
"name": "Anthropic/claude-3-haiku-20240307",
|
| 20 |
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"developer": "Anthropic",
|
| 21 |
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"evaluator_relationship": null,
|
| 22 |
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"benchmark_scores": {
|
| 23 |
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"reward-bench/Score": 0.7289,
|
| 24 |
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"reward-bench/Chat": 0.9274,
|
| 25 |
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"reward-bench/Chat Hard": 0.5197,
|
| 26 |
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"reward-bench/Safety": 0.7953,
|
| 27 |
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"reward-bench/Reasoning": 0.706,
|
| 28 |
+
"reward-bench/Prior Sets (0.5 weight)": 0.6635
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"id": "Anthropic/claude-3-opus-20240229",
|
| 33 |
+
"name": "Anthropic/claude-3-opus-20240229",
|
| 34 |
+
"developer": "Anthropic",
|
| 35 |
+
"evaluator_relationship": null,
|
| 36 |
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"benchmark_scores": {
|
| 37 |
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"reward-bench/Score": 0.8008,
|
| 38 |
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"reward-bench/Chat": 0.9469,
|
| 39 |
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"reward-bench/Chat Hard": 0.6031,
|
| 40 |
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"reward-bench/Safety": 0.8662,
|
| 41 |
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"reward-bench/Reasoning": 0.7868
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"id": "Anthropic/claude-3-sonnet-20240229",
|
| 46 |
+
"name": "Anthropic/claude-3-sonnet-20240229",
|
| 47 |
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"developer": "Anthropic",
|
| 48 |
+
"evaluator_relationship": null,
|
| 49 |
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"benchmark_scores": {
|
| 50 |
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"reward-bench/Score": 0.7458,
|
| 51 |
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"reward-bench/Chat": 0.9344,
|
| 52 |
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"reward-bench/Chat Hard": 0.5658,
|
| 53 |
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"reward-bench/Safety": 0.8169,
|
| 54 |
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"reward-bench/Reasoning": 0.6907,
|
| 55 |
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"reward-bench/Prior Sets (0.5 weight)": 0.6963
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"id": "anthropic/claude-3.7-sonnet",
|
| 60 |
+
"name": "anthropic/claude-3.7-sonnet",
|
| 61 |
+
"developer": "Anthropic",
|
| 62 |
+
"evaluator_relationship": null,
|
| 63 |
+
"benchmark_scores": {
|
| 64 |
+
"livecodebenchpro/Hard Problems": 0.0,
|
| 65 |
+
"livecodebenchpro/Medium Problems": 0.014084507042253521,
|
| 66 |
+
"livecodebenchpro/Easy Problems": 0.15492957746478872
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"id": "anthropic/claude-haiku-4.5",
|
| 71 |
+
"name": "Claude Haiku 4.5",
|
| 72 |
+
"developer": "Anthropic",
|
| 73 |
+
"evaluator_relationship": null,
|
| 74 |
+
"benchmark_scores": {
|
| 75 |
+
"terminal-bench-2.0/terminal-bench-2.0": 35.5
|
| 76 |
+
}
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"id": "anthropic/claude-opus-4-5",
|
| 80 |
+
"name": "claude-opus-4-5",
|
| 81 |
+
"developer": "Anthropic",
|
| 82 |
+
"evaluator_relationship": null,
|
| 83 |
+
"benchmark_scores": {
|
| 84 |
+
"appworld_test_normal/appworld/test_normal": 0.66,
|
| 85 |
+
"browsecompplus/browsecompplus": 0.49,
|
| 86 |
+
"swe-bench/swe-bench": 0.65,
|
| 87 |
+
"tau-bench-2_airline/tau-bench-2/airline": 0.66,
|
| 88 |
+
"tau-bench-2_retail/tau-bench-2/retail": 0.85,
|
| 89 |
+
"tau-bench-2_telecom/tau-bench-2/telecom": 0.58
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"id": "anthropic/claude-opus-4.1",
|
| 94 |
+
"name": "Claude Opus 4.1",
|
| 95 |
+
"developer": "Anthropic",
|
| 96 |
+
"evaluator_relationship": null,
|
| 97 |
+
"benchmark_scores": {
|
| 98 |
+
"terminal-bench-2.0/terminal-bench-2.0": 38.0
|
| 99 |
+
}
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"id": "anthropic/claude-opus-4.5",
|
| 103 |
+
"name": "Claude Opus 4.5",
|
| 104 |
+
"developer": "Anthropic",
|
| 105 |
+
"evaluator_relationship": null,
|
| 106 |
+
"benchmark_scores": {
|
| 107 |
+
"terminal-bench-2.0/terminal-bench-2.0": 54.3
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"id": "anthropic/claude-opus-4.6",
|
| 112 |
+
"name": "Claude Opus 4.6",
|
| 113 |
+
"developer": "Anthropic",
|
| 114 |
+
"evaluator_relationship": null,
|
| 115 |
+
"benchmark_scores": {
|
| 116 |
+
"terminal-bench-2.0/terminal-bench-2.0": 69.9
|
| 117 |
+
}
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"id": "anthropic/claude-sonnet-4.5",
|
| 121 |
+
"name": "Claude Sonnet 4.5",
|
| 122 |
+
"developer": "Anthropic",
|
| 123 |
+
"evaluator_relationship": null,
|
| 124 |
+
"benchmark_scores": {
|
| 125 |
+
"terminal-bench-2.0/terminal-bench-2.0": 42.6
|
| 126 |
+
}
|
| 127 |
+
}
|
| 128 |
+
]
|
| 129 |
+
}
|
data/developers/ArliAI.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "ArliAI",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "ArliAI/ArliAI-RPMax-12B-v1.1",
|
| 6 |
+
"name": "ArliAI-RPMax-12B-v1.1",
|
| 7 |
+
"developer": "ArliAI",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.5349,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.4752,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.1125,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2819,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3618,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3384
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1",
|
| 20 |
+
"name": "Llama-3.1-8B-ArliAI-RPMax-v1.1",
|
| 21 |
+
"developer": "ArliAI",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.6359,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.5016,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.1314,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2836,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3577,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.3551
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|
data/developers/Arthur-LAGACHERIE.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Arthur-LAGACHERIE",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Arthur-LAGACHERIE/Precis-1B-Instruct",
|
| 6 |
+
"name": "Precis-1B-Instruct",
|
| 7 |
+
"developer": "Arthur-LAGACHERIE",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.3671,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.3224,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0038,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.2659,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.3436,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.1426
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
]
|
| 19 |
+
}
|
data/developers/Artples.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"developer": "Artples",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"id": "Artples/L-MChat-7b",
|
| 6 |
+
"name": "L-MChat-7b",
|
| 7 |
+
"developer": "Artples",
|
| 8 |
+
"evaluator_relationship": null,
|
| 9 |
+
"benchmark_scores": {
|
| 10 |
+
"hfopenllm_v2/IFEval": 0.5297,
|
| 11 |
+
"hfopenllm_v2/BBH": 0.46,
|
| 12 |
+
"hfopenllm_v2/MATH Level 5": 0.0921,
|
| 13 |
+
"hfopenllm_v2/GPQA": 0.3054,
|
| 14 |
+
"hfopenllm_v2/MUSR": 0.4029,
|
| 15 |
+
"hfopenllm_v2/MMLU-PRO": 0.3299
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "Artples/L-MChat-Small",
|
| 20 |
+
"name": "L-MChat-Small",
|
| 21 |
+
"developer": "Artples",
|
| 22 |
+
"evaluator_relationship": null,
|
| 23 |
+
"benchmark_scores": {
|
| 24 |
+
"hfopenllm_v2/IFEval": 0.3287,
|
| 25 |
+
"hfopenllm_v2/BBH": 0.4823,
|
| 26 |
+
"hfopenllm_v2/MATH Level 5": 0.0378,
|
| 27 |
+
"hfopenllm_v2/GPQA": 0.2676,
|
| 28 |
+
"hfopenllm_v2/MUSR": 0.3696,
|
| 29 |
+
"hfopenllm_v2/MMLU-PRO": 0.2464
|
| 30 |
+
}
|
| 31 |
+
}
|
| 32 |
+
]
|
| 33 |
+
}
|