Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
Move nanoGentzen to v3 (#59) in the fitted table (#66)
Browse files- Move nanoGentzen to v3 (#59) in the fitted table (cb693435d4d2c34e5b1d288caf682d92f9691873)
Co-authored-by: Sandeep Das <sandeep85@users.noreply.huggingface.co>
README.md
CHANGED
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@@ -84,35 +84,34 @@ the two tables are not comparable.
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| 13 | [linne-oak 1.0](https://huggingface.co/PNPM244/linne-oak-1-0) (31B) ([#35](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/35)) | general, zero-shot, open weights | 0.739 | 0.709 | 0.191 | – | 1.3 s (8 concurrent) | open weights |
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| 14 | [vLLM-SR d3](https://huggingface.co/vllm-sr/d3) (26B, FP8) via [Decision Models](https://decisionmodels.io) (`s1-pro`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.739 | 0.437 | 0.151 | 0.124 | 3,405 ms | $0.08 |
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| 15 | [d3-turbo](https://huggingface.co/vllm-sr/d3-turbo) (26B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.736 | 0.438 | 0.162 | 0.069 | – | open weights |
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| 44 | [THX-01](https://huggingface.co/doofz/THX-01) (0.3B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.377 | 0.620 | 0.320 | 0.203 | – | open weights |
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| – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
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| – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
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| 29 | Rev-gen1-UltraBERT-150M (150M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.7630 | 0.173 | 0.092 | 0.228 | 82 ms (B200, local) |
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| 155 |
| 30 | Rev-gen1-UltraBERT-380M (378M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.7620 | 0.144 | 0.075 | 0.203 | 82 ms (B200, local) |
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| 156 |
| 31 | [gemma3-270m-typed-decisions](https://huggingface.co/rony/gemma3-270m-typed-decisions) (Gemma 3 270M, full fine-tune) | specialist | 0.761 | 0.132 | 0.072 | 0.148 | 68 ms |
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| 46 | [Bekko System One v0
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**Quyet-1.0-Large, served by Decision Models, has the highest accuracy among zero-shot models (0.791). [meraGPT Decider 1](https://meragpt.com/models/state-decider-1?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=typed-decisions) is second on accuracy (0.768) and has the lowest KL (0.096) and Brier (0.052) of any zero-shot model.** It leads Jev on every question type (`noul` 0.840 vs
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0.775, `choice` 0.733 vs 0.720, `score` 0.739 vs 0.696), its distributions sit far
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| 13 | [linne-oak 1.0](https://huggingface.co/PNPM244/linne-oak-1-0) (31B) ([#35](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/35)) | general, zero-shot, open weights | 0.739 | 0.709 | 0.191 | – | 1.3 s (8 concurrent) | open weights |
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| 85 |
| 14 | [vLLM-SR d3](https://huggingface.co/vllm-sr/d3) (26B, FP8) via [Decision Models](https://decisionmodels.io) (`s1-pro`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.739 | 0.437 | 0.151 | 0.124 | 3,405 ms | $0.08 |
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| 86 |
| 15 | [d3-turbo](https://huggingface.co/vllm-sr/d3-turbo) (26B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.736 | 0.438 | 0.162 | 0.069 | – | open weights |
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| 87 |
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| 16 | [clef](https://huggingface.co/Cloudflare/clef) (27B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.728 | 0.191 | 0.103 | 0.025 | – | open weights |
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| 88 |
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| 17 | [openjev](https://huggingface.co/openjev/openjev) (27B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.728 | 0.506 | 0.191 | 0.101 | – | open weights |
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| 18 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
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| 19 | [Blink v0.3](https://huggingface.co/PixilabAI/Blink-v0.3-26B-A4B-NVFP4) (26B-A4B, NVFP4) via [Decision Models](https://decisionmodels.io) (`s1-fast`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | 0.727 | 0.153 | 0.079 | 0.129 | 3,274 ms | $0.019 |
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| 91 |
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| 20 | [d3-flash](https://huggingface.co/vllm-sr/d3-flash) (9B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.717 | 0.322 | 0.131 | 0.031 | – | open weights |
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| 92 |
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| 21 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
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| 93 |
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| 22 | [jev-vision-27b](https://huggingface.co/e12ex2/jev-vision-27b) (Qwen3.8-27B + LoRA) | general, zero-shot, open weights | 0.714 | 0.318 | 0.129 | 0.026 | 199 ms (H100) | open weights |
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| 94 |
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| 23 | [signpost-d-4b](https://huggingface.co/skamalj/signpost-d-4b) (4.5B, Qwen3.5-4B LoRA soup) ([#61](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/61)) | general, zero-shot, open weights | 0.712 | 0.162 | 0.085 | 0.091 | 62 ms (RTX PRO 6000) | open weights |
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| 95 |
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| 24 | [clef-flash](https://huggingface.co/Cloudflare/clef-flash) (9B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.710 | 0.209 | 0.111 | 0.016 | – | open weights |
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| 96 |
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| 25 | [prima-ratio + 12B](https://github.com/andrea-tomassi/prima-ratio) | general, zero-shot | 0.702 | 0.564 | 0.234 | 0.146 | 700 ms | local GGUF |
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| 97 |
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| 26 | [JEV-35B](https://huggingface.co/autotrust/JEV-35B) (35B MoE) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.700 | 0.526 | 0.169 | 0.062 | – | open weights |
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| 98 |
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| 27 | [JEV-27B-VL](https://huggingface.co/autotrust/JEV-27B-VL) (28B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.688 | 0.544 | 0.194 | 0.113 | – | open weights |
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| 99 |
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| 28 | [clef-omni](https://huggingface.co/Cloudflare/clef-omni) (35B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.673 | 0.247 | 0.123 | 0.030 | – | open weights |
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| 100 |
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| 29 | [OpenDecider-small](https://huggingface.co/manjunathshiva/opendecider-small) | general, zero-shot, open weights | 0.671 | 0.211 | 0.117 | – | 40 ms | open weights |
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| 101 |
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| 30 | [Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) (27B, base model) ([#60](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/60)) | general, zero-shot, open weights | 0.661 | 0.590 | 0.214 | 0.143 | 381 ms (RTX PRO 6000) | open weights |
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| 102 |
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| 31 | [d1-3B](https://huggingface.co/LiquidAI/d1-3B) (3B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.656 | 0.286 | 0.144 | 0.037 | – | open weights |
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| 103 |
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| 32 | [d1-2B-OptiQ-4bit](https://huggingface.co/mlx-community/d1-2B-OptiQ-4bit) (2B, OptiQ 4-bit MLX quant of d1-2B) | general, zero-shot, open weights | 0.641 | 0.283 | 0.139 | 0.126 | 273 ms (M3 Max) | open weights |
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| 104 |
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| 33 | [d1-2B](https://huggingface.co/LiquidAI/d1-2B) (2B) | general, zero-shot, open weights | 0.637 | 0.282 | 0.137 | 0.124 | – | open weights |
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| 105 |
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| 34 | [d3-nano](https://huggingface.co/vllm-sr/d3-nano) (2B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.629 | 0.545 | 0.211 | 0.113 | – | open weights |
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| 106 |
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| 35 | [Bongard-mini](https://huggingface.co/AgentBull/bongard-mini) | general, zero-shot, open weights | 0.594 | 0.256 | 0.132 | 0.067 | 225 ms | open weights |
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| 107 |
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| 36 | [Jeff-Gemma4-E2B](https://huggingface.co/mstrasser/Jeff-Gemma4-E2B) | general, zero-shot, open weights | 0.561 | 0.403 | 0.219 | 0.188 | 2,272 ms | open weights |
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| 108 |
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| 37 | [d3-lite](https://huggingface.co/vllm-sr/d3-lite) (0.8B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.531 | 0.518 | 0.244 | 0.130 | – | open weights |
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| 109 |
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| 38 | [GEV-26B-Decide](https://huggingface.co/autotrust/GEV-26B-Decide) (26B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.522 | 0.423 | 0.215 | 0.066 | – | open weights |
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| 110 |
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| 39 | [Jeff-Qwen3.5-2B](https://huggingface.co/mstrasser/Jeff-Qwen3.5-2B) | general, zero-shot, open weights | 0.511 | 0.460 | 0.237 | 0.203 | 1,346 ms | open weights |
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| 111 |
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| 40 | [JEV-27B](https://huggingface.co/autotrust/JEV-27B) (27B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.495 | 0.550 | 0.253 | 0.136 | – | open weights |
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| 112 |
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| 41 | [Jeff-Qwen3.5-0.8B](https://huggingface.co/mstrasser/Jeff-Qwen3.5-0.8B) | general, zero-shot, open weights | 0.483 | 0.679 | 0.313 | 0.251 | 662 ms | open weights |
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| 113 |
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| 42 | [d3-edge](https://huggingface.co/vllm-sr/d3-edge) (0.6B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.425 | 1.176 | 0.456 | 0.341 | – | open weights |
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| 114 |
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| 43 | [THX-01](https://huggingface.co/doofz/THX-01) (0.3B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.377 | 0.620 | 0.320 | 0.203 | – | open weights |
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| – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
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| – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
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| 153 |
| 29 | Rev-gen1-UltraBERT-150M (150M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.7630 | 0.173 | 0.092 | 0.228 | 82 ms (B200, local) |
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| 154 |
| 30 | Rev-gen1-UltraBERT-380M (378M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.7620 | 0.144 | 0.075 | 0.203 | 82 ms (B200, local) |
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| 155 |
| 31 | [gemma3-270m-typed-decisions](https://huggingface.co/rony/gemma3-270m-typed-decisions) (Gemma 3 270M, full fine-tune) | specialist | 0.761 | 0.132 | 0.072 | 0.148 | 68 ms |
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| 156 |
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| 32 | [nanoGentzen-v3](https://huggingface.co/Sagicc/nanoGentzen-v3) (4.93M) ([#59](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/59)) | weights trained on synthetic logic data; rules and calibrated distributions built for this benchmark's workflows | 0.7585 | 0.207 | 0.100 | 0.065 | 18 ms |
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| 157 |
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| 33 | [SafeDecide-140M](https://huggingface.co/yotambr/safedecide-140m) (mmBERT-small, 140M) ([#39](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/39)) | general, then fine-tuned on `train` | 0.754 | 0.126 | 0.069 | 0.147 | 80 ms (1 CPU thread) |
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| 158 |
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| 34 | [Seb-9B](https://huggingface.co/ironbcc/seb-9b) (Qwen3.5-9B, v1) ([#13](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/13)) | general, then fitted on `train`, one question per request | 0.754 | 0.349 | 0.131 | 0.031 | – |
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| 159 |
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| 35 | [tasksource-decider-nano](https://huggingface.co/tasksource/tasksource-decider-nano) (149M cross-encoder, `v5`) ([#45](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/45)) | general; `train` is 0.5% of its training mix | 0.7515 | 0.1125 | 0.0621 | 0.125 | 37 ms (A30, shared) |
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| 160 |
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| 36 | Rev-gen1-nano (752M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.7515 | 0.117 | 0.064 | 0.094 | 52 ms (B200, local) |
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| 161 |
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| 37 | [ProKope-421M-8K](https://huggingface.co/ProKope-AI/ProKope-421M-8K) (421M, 8K context) | specialist | 0.7185 | – | 0.385 | – | 43 ms |
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| 162 |
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| 38 | [serin-0.8b](https://huggingface.co/lambdasec/serin-0.8b) (Qwen3.5-0.8B, 0.8B) | general, then trained on `train` | 0.7165 | 0.9577 | 0.1502 | 0.1122 | – |
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| 163 |
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| 39 | [gemma3-270m-typed-decisions](https://huggingface.co/rony/gemma3-270m-typed-decisions) (Gemma 3 270M, full fine-tune) | general, fine-tuned on `train` | 0.702 | 0.156 | 0.091 | 0.128 | 68 ms |
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| 164 |
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| 40 | SAP RPT 1.6 via the SAP Decisions API (`/api/systemone`), [evaluation](https://huggingface.co/datasets/tomgutt/rpt-1.6-typed-decisions-evaluation) ([#49](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/49)) | in-context: 300 provider-held `train` examples per workflow, no weight updates; closed API | 0.672 | 0.646 | 0.151 | 0.019 | 656 ms (p50, API round trip) |
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| 165 |
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| 41 | [Bekko System One v0 400M](https://huggingface.co/hotchpotch/bekko-system-one-v0-400m), scored by us | trained on `train` and other data | 0.668 | 0.214 | 0.113 | 0.143 | 808 ms |
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| 166 |
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| 42 | [vega-08b-public-intents](https://huggingface.co/nandakishorm/vega-08b-public-intents) (0.8B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | specialist (bundled typed-decisions adapter active) | 0.663 | 0.435 | 0.191 | 0.074 | – |
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| 167 |
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| 43 | ModernBERT-base (149M), ours | specialist, fitted per workflow | 0.646 | 0.223 | 0.119 | 0.179 | 349 ms |
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| 168 |
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| 44 | Rev-gen1-EmbeddingGemma-2-Frozen (272M) ([#64](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/64)) | general, trained on a mix including filtered `train`; weights and predictions private | 0.6015 | 0.248 | 0.142 | 0.042 | 92 ms (B200, local) |
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| 169 |
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| 45 | MiniLM-L6 (22M), ours | specialist, fitted per workflow | 0.587 | 0.262 | 0.143 | 0.108 | 22 ms |
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| 170 |
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| 46 | [Bekko System One v0 68M](https://huggingface.co/hotchpotch/bekko-system-one-v0-68m), scored by us | trained on `train` and other data | 0.537 | 0.293 | 0.160 | 0.116 | 176 ms |
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| 171 |
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| 47 | [Bekko System One v0 17M](https://huggingface.co/hotchpotch/bekko-system-one-v0-17m), scored by us | trained on `train` and other data | 0.483 | 0.344 | 0.203 | 0.136 | 33 ms |
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**Quyet-1.0-Large, served by Decision Models, has the highest accuracy among zero-shot models (0.791). [meraGPT Decider 1](https://meragpt.com/models/state-decider-1?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=typed-decisions) is second on accuracy (0.768) and has the lowest KL (0.096) and Brier (0.052) of any zero-shot model.** It leads Jev on every question type (`noul` 0.840 vs
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0.775, `choice` 0.733 vs 0.720, `score` 0.739 vs 0.696), its distributions sit far
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