Text Generation
Transformers
Safetensors
minimax_m2
neuralmagic
redhat
llmcompressor
quantized
INT8
conversational
custom_code
8-bit precision
compressed-tensors
Instructions to use RedHatAI/MiniMax-M2.5-quantized.w8a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/MiniMax-M2.5-quantized.w8a8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RedHatAI/MiniMax-M2.5-quantized.w8a8", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RedHatAI/MiniMax-M2.5-quantized.w8a8", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("RedHatAI/MiniMax-M2.5-quantized.w8a8", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use RedHatAI/MiniMax-M2.5-quantized.w8a8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RedHatAI/MiniMax-M2.5-quantized.w8a8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/MiniMax-M2.5-quantized.w8a8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RedHatAI/MiniMax-M2.5-quantized.w8a8
- SGLang
How to use RedHatAI/MiniMax-M2.5-quantized.w8a8 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RedHatAI/MiniMax-M2.5-quantized.w8a8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/MiniMax-M2.5-quantized.w8a8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RedHatAI/MiniMax-M2.5-quantized.w8a8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/MiniMax-M2.5-quantized.w8a8", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RedHatAI/MiniMax-M2.5-quantized.w8a8 with Docker Model Runner:
docker model run hf.co/RedHatAI/MiniMax-M2.5-quantized.w8a8
Commit ·
9e374b6
1
Parent(s): 7a95a38
results except chat
Browse files- every_eval_ever/aime25.json +129 -0
- every_eval_ever/gpqa_diamond.json +83 -0
- every_eval_ever/gsm8k_platinum_cot_llama.json +126 -0
- every_eval_ever/ifeval.json +224 -0
- every_eval_ever/math_500.json +83 -0
every_eval_ever/aime25.json
ADDED
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{
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"schema_version": "0.2.2",
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"evaluation_id": "aime25/inference-optimization/MiniMax-M2.5.w8a8/1777568692.163912",
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"evaluation_timestamp": "7718166",
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"retrieved_timestamp": "1777568692.163912",
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"source_metadata": {
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"source_name": "lighteval",
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"source_type": "evaluation_run",
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"source_organization_name": "RedHatAI",
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"evaluator_relationship": "third_party"
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},
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"eval_library": {
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"name": "lighteval",
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"version": "v0.13.0"
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},
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"model_info": {
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"name": "inference-optimization/MiniMax-M2.5.w8a8",
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"id": "inference-optimization/MiniMax-M2.5.w8a8",
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"developer": "inference-optimization",
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"inference_engine": {
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"name": "vllm"
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},
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"additional_details": {
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"provider": "hosted_vllm",
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"base_url": "http://0.0.0.0:8000/v1",
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"concurrent_requests": "8",
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"verbose": "False",
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"api_max_retry": "8",
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"api_retry_sleep": "1.0",
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"api_retry_multiplier": "2.0",
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"timeout": "2400.0",
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"num_seeds_merged": "8"
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}
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},
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"evaluation_results": [
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{
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"evaluation_name": "aime25",
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"source_data": {
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"dataset_name": "aime25",
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"source_type": "hf_dataset",
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"hf_repo": "yentinglin/aime_2025",
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"hf_split": "train"
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},
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"evaluation_timestamp": "7721195",
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"metric_config": {
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"evaluation_description": "pass@k:k=1&n=1",
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"lower_is_better": false,
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"score_type": "continuous",
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"min_score": 0.0,
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"max_score": 1.0
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},
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"score_details": {
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"score": 0.8833333333333333,
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"details": {
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"seed_scores": "[0.9, 0.9, 0.9, 0.9, 0.8666666666666667, 0.8333333333333334, 0.8666666666666667, 0.9]",
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"seed_values": "[1234, 1356, 3344, 4158, 42, 5322, 5678, 9843]"
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},
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"uncertainty": {
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"standard_error": {
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"value": 0.008908708063747477,
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"method": "across_seeds"
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},
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"num_samples": 8
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}
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},
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"generation_config": {
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"generation_args": {
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"temperature": 1.0,
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"top_p": 0.95,
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"top_k": 40.0,
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"max_tokens": 64000,
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"max_attempts": 1
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},
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"additional_details": {
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"repetition_penalty": "1.0",
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"presence_penalty": "1.5",
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"seed": "1234",
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"min_p": "0.0"
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}
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}
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},
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{
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"evaluation_name": "aime25",
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"source_data": {
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"dataset_name": "aime25",
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"source_type": "hf_dataset",
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"hf_repo": "yentinglin/aime_2025",
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"hf_split": "train"
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},
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"evaluation_timestamp": "7721195",
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"metric_config": {
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"evaluation_description": "avg@n:n=1",
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"lower_is_better": false,
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"score_type": "continuous",
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"min_score": 0.0,
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"max_score": 1.0
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},
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"score_details": {
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"score": 0.8833333333333333,
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"details": {
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"seed_scores": "[0.9, 0.9, 0.9, 0.9, 0.8666666666666667, 0.8333333333333334, 0.8666666666666667, 0.9]",
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"seed_values": "[1234, 1356, 3344, 4158, 42, 5322, 5678, 9843]"
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},
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"uncertainty": {
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"standard_error": {
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"value": 0.008908708063747477,
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"method": "across_seeds"
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},
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"num_samples": 8
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}
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},
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"generation_config": {
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"generation_args": {
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"temperature": 1.0,
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"top_p": 0.95,
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"top_k": 40.0,
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"max_tokens": 64000,
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"max_attempts": 1
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},
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"additional_details": {
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"repetition_penalty": "1.0",
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"presence_penalty": "1.5",
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"seed": "1234",
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"min_p": "0.0"
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}
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}
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}
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]
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}
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every_eval_ever/gpqa_diamond.json
ADDED
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{
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"schema_version": "0.2.2",
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"evaluation_id": "gpqa:diamond/inference-optimization/MiniMax-M2.5.w8a8/1777568737.410978",
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"evaluation_timestamp": "7704068",
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"retrieved_timestamp": "1777568737.410978",
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"source_metadata": {
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"source_name": "lighteval",
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"source_type": "evaluation_run",
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"source_organization_name": "RedHatAI",
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"evaluator_relationship": "third_party"
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},
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"eval_library": {
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"name": "lighteval",
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"version": "v0.13.0"
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},
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"model_info": {
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| 17 |
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"name": "inference-optimization/MiniMax-M2.5.w8a8",
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"id": "inference-optimization/MiniMax-M2.5.w8a8",
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"developer": "inference-optimization",
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"inference_engine": {
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"name": "vllm"
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},
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"additional_details": {
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"provider": "hosted_vllm",
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"base_url": "http://0.0.0.0:8000/v1",
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"concurrent_requests": "8",
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"verbose": "False",
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"api_max_retry": "8",
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"api_retry_sleep": "1.0",
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"api_retry_multiplier": "2.0",
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"timeout": "2400.0",
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"num_seeds_merged": "3"
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}
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},
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"evaluation_results": [
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{
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"evaluation_name": "gpqa:diamond",
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| 38 |
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"source_data": {
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"dataset_name": "gpqa:diamond",
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"source_type": "hf_dataset",
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"hf_repo": "Idavidrein/gpqa",
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"hf_split": "train"
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| 43 |
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},
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| 44 |
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"evaluation_timestamp": "7708369",
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"metric_config": {
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| 46 |
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"evaluation_description": "gpqa_pass@k:k=1",
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| 47 |
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"lower_is_better": false,
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| 48 |
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"score_type": "continuous",
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| 49 |
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"min_score": 0.0,
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"max_score": 1.0
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},
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"score_details": {
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"score": 0.845117845117845,
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"details": {
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"seed_scores": "[0.8585858585858586, 0.8535353535353535, 0.8232323232323232]",
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| 56 |
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"seed_values": "[1234, 4158, 42]"
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},
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"uncertainty": {
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"standard_error": {
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"value": 0.011039458795121212,
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"method": "across_seeds"
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},
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"num_samples": 3
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}
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},
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"generation_config": {
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"generation_args": {
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"temperature": 1.0,
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"top_p": 0.95,
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"top_k": 40.0,
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"max_tokens": 64000,
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"max_attempts": 1
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},
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"additional_details": {
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| 75 |
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"repetition_penalty": "1.0",
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"presence_penalty": "1.5",
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"seed": "1234",
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"min_p": "0.0"
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}
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}
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}
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]
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}
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every_eval_ever/gsm8k_platinum_cot_llama.json
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|
| 1 |
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| 5 |
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| 11 |
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| 13 |
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| 17 |
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| 28 |
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| 77 |
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| 91 |
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| 125 |
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| 126 |
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|
every_eval_ever/ifeval.json
ADDED
|
@@ -0,0 +1,224 @@
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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 |
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| 2 |
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| 103 |
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| 104 |
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| 105 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 130 |
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| 132 |
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| 134 |
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| 135 |
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| 155 |
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| 156 |
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| 222 |
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|
| 223 |
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|
| 224 |
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}
|
every_eval_ever/math_500.json
ADDED
|
@@ -0,0 +1,83 @@
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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"name": "lighteval",
|
| 14 |
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|
| 15 |
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},
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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"name": "vllm"
|
| 22 |
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| 24 |
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| 25 |
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| 26 |
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|
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| 37 |
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