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Datasets:
LocalLLaMA
/
typed-decisions

Benchmark
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Text Classification
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structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
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@@ -71,93 +71,77 @@ the two tables are not comparable.
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  |---|---|---|---|---|---|---|---|---|
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  | 1 | **[Quyet-1.0-Large](https://huggingface.co/chinhnc/Quyet-1.0-Large)** (31B) via [Decision Models](https://decisionmodels.io) (`quyet-1-large`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | **0.791** | 0.281 | 0.114 | 0.093 | 3,335 ms | $0.035 |
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  | 2 | [meraGPT Decider 1](https://meragpt.com/models/state-decider-1?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=typed-decisions) (`sd-1`) | general, zero-shot | 0.768 | **0.096** | **0.052** | 0.180 | **526 ms** | $0.03 |
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- | 3 | [Amos 1 medium](https://huggingface.co/mukaddamzaid/amos-1-medium) (9B) § ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.7645 | 0.151 | 0.080 | 0.103 | 118 ms‡ (H100) | open weights |
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- | 4 | [Amos 1 large](https://huggingface.co/mukaddamzaid/amos-1-large) (27B) § ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.761 | 0.126 | 0.069 | 0.097 | 357 ms‡ (H100) | open weights |
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- | 5 | [pplx-decider-v1.1-27b](https://huggingface.co/perplexity-ai/pplx-decider-v1.1-27b) (27B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.753 | 0.441 | 0.160 | 0.060 | – | open weights |
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- | 6 | [d3](https://huggingface.co/vllm-sr/d3) (27B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.749 | 0.409 | 0.146 | 0.049 | – | open weights |
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- | 7 | [Darwin-27B-ZTC](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC) (27B) § ([#17](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/17)) | general, zero-shot, open weights | 0.743 | 0.204 | 0.097 | – | – | open weights |
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- | 8 | [d3-mini](https://huggingface.co/vllm-sr/d3-mini) (4B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.743 | 0.319 | 0.123 | 0.047 | – | open weights |
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  | 9 | [Liquid AI d1](https://docs.liquid.ai/lfm/models/decision-models) (`d1:free`) | general, zero-shot | 0.742 | 0.475 | 0.155 | 0.124 | 525 ms | free tier |
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- | 10 | [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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  | 11 | [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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- | 12 | [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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- | 13 | [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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- | 14 | [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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  | 15 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
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  | 16 | [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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- | 17 | [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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  | 18 | [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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- | 19 | [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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- | 20 | [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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- | 21 | [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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- | 22 | [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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- | 23 | [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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- | 24 | [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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- | 25 | [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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- | 26 | [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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- | 27 | [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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- | 28 | [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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- | 29 | [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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- | 30 | [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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- | 31 | [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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- | 32 | [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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- | 33 | [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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- | 34 | [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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- | 35 | [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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- | 36 | [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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- Hosted rows are p50 end to end from a client, one request at a time.
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- † Measured on the same machine as the model (M3 Max), not comparable with hosted latency.
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- ‡ Reported by the submitter on their own hardware (a different GPU and a different unit for each), not comparable with the other rows.
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- § Self-reported by the submitter in the linked discussion and not re-run by us. Metric definitions follow the submitter's report; ECE in particular is computed differently by different submitters.
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- ◆ Scored by a third party ([SaylorTwift](https://huggingface.co/SaylorTwift), discussion #37) on Hugging Face Jobs, 2026-10-16 to 10-19, with one public scorer for every row and not re-run by us. Raw predictions and scripts are in the [results bucket](https://huggingface.co/buckets/SaylorTwift/typed-decisions-evals). Its accuracy counts a tie in the gold as correct and its ECE uses 10 bins, so small differences from the other rows can come from the scorer. Latency was measured on mixed Jobs hardware and is left out. d3-turbo was served through its own `system_one()` runtime because vLLM does not load it yet.
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-
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  ### Fitted or fine-tuned on `train`
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  These models were trained on this benchmark's `train` split, so they are not
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- zero-shot and their scores are not comparable with the table above. All were
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- self-reported in the linked discussions and were not re-run by us, except the two
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- specialists marked ours and the three Bekko rows, which we scored ourselves, and
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- the rows marked ◆, scored by a third party (see the note under the first table). Scores well above the 0.735 teacher self-agreement mean a
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- model is learning the teacher's quirks.
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  | # | Model | Kind | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | Reported latency |
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  |---|---|---|---|---|---|---|---|
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- | 1 | [Decider-4B](https://huggingface.co/roudone/Decider-4B) (Qwen3.5-4B + LoRA) ([#36](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/36)) | general, then fine-tuned on `train` and other decision data, temperature-calibrated | 0.8205 | 0.301 | 0.132 | 0.031 | 117 ms‡ (A800) |
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- | 2 | [Arbiter-4B](https://huggingface.co/Goddragon/Arbiter-4B) (from NeoHorse-Jev-4B + LoRA) ([#34](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/34)) | general, then fine-tuned on `train` and other decision data, temperature-calibrated | 0.817 | 0.092 | 0.048 | 0.184 | 133 ms‡ (A800) |
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  | 3 | [Darwin-27B-ZTC-v5](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v5) (27B, full fine-tune) ([#33](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/33)) | general, then fine-tuned on `train` | 0.812 | – | – | – | – |
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- | 4 | [ministral3-3b-reasoning-typed-decisions](https://huggingface.co/rony/ministral3-3b-reasoning-typed-decisions) (Ministral 3 3B Reasoning, full fine-tune) ([#30](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/30)) | specialist | 0.808 | 0.077 | 0.042 | 0.182 | 373 ms‡ (GB10) |
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- | 5 | [Amos 1 large](https://huggingface.co/mukaddamzaid/amos-1-large) (27B), per-question priors fitted on `train` ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, then fitted on `train` (one log-prior bias per question and option; no weights changed) | 0.8025 | 0.122 | – | – | 357 ms‡ |
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- | 6 | [OpenDecider-large-td](https://huggingface.co/manjunathshiva/opendecider-large-td) (Qwen3-Next-80B-A3B + LoRA) | general, then fine-tuned on `train` | 0.801 | 0.081 | 0.044 | – | 440 ms‡ |
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- | 7 | [od1-typed-decisions](https://huggingface.co/mvbalaji/od1-typed-decisions) (Qwen3.5-4B) | specialist | 0.797 | 0.082 | 0.045 | 0.156 | – |
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- | 8 | [OpenDecider-nano](https://huggingface.co/manjunathshiva/opendecider-nano) (400M encoder) | general, then fine-tuned on `train` | 0.796 | 0.079 | 0.043 | – | 17 ms‡ |
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- | 9 | [OpenDecider-small-td](https://huggingface.co/manjunathshiva/opendecider-small-td) (Qwen3-4B + LoRA) | general, then fine-tuned on `train` | 0.792 | 0.080 | 0.043 | – | 40 ms‡ |
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- | 10 | [Phocinae-Largha-150M-v1](https://huggingface.co/Phocinae/Phocinae-Largha-150M-v1) (mmBERT-small, 144.3M) | specialist | 0.791◇ | – | – | – | 21.0 ms‡ (RTX 5090) |
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- | 11 | [OpenDecider-medium-td](https://huggingface.co/manjunathshiva/opendecider-medium-td) (Qwen3-30B-A3B + LoRA) | general, then fine-tuned on `train` | 0.788 | 0.081 | 0.044 | – | 214 ms‡ |
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- | 12 | [soft-decider-421m](https://huggingface.co/winwinwinbb/soft-decider-421m) | specialist | 0.774 | – | – | 0.141 | 50 ms‡ |
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- | 13 | [Qwen3.5-4B-typed-decisions](https://huggingface.co/wozniakos10/Qwen3.5-4B-typed-decisions) (Qwen3.5-4B + LoRA, Clef head) | general, then fine-tuned on `train` | 0.7725 | 0.0992 | 0.0543 | 0.139 | – |
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- | 14 | [embeddinggemma-2-ft-typed-decision](https://huggingface.co/mrm8488/embeddinggemma-2-ft-typed-decision) (0.3B) ◆ ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | fine-tuned on `train` | 0.770 | 0.119 | 0.065 | 0.155 | – |
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  | 15 | [Laya typed-decisions](https://huggingface.co/convaiinnovations/laya-typed-decisions) | fitted on `train` | 0.766 | – | – | – | – |
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- | 16 | [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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- | 17 | [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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- | 18 | [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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- | 19 | [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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- | 20 | [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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- | 21 | [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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- | 22 | ModernBERT-base (149M), ours | specialist, fitted per workflow | 0.646 | 0.223 | 0.119 | 0.179 | 349 ms† |
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- | 23 | MiniLM-L6 (22M), ours | specialist, fitted per workflow | 0.587 | 0.262 | 0.143 | 0.108 | 22 ms† |
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- | 24 | [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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- | 25 | [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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-
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- The submitter's own ECE definition, which does not match the one used above.
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-
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- §§ ProKope reports a multi-class vector Brier score, which is not the per-decision Brier used in the other rows, so the two are not comparable.
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-
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- ◇ Clean re-score by the submitter after removing 500 training pairs derived from model predictions on `test` rows ([discussion #25](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/25)). The originally submitted 0.906 was measured on a split the model had partly seen, so it is not listed; KL, Brier and ECE were only reported for that run. Do not train on `test` rows, `test` labels, or anything derived from predictions on them.
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-
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- **Quyet-1.0-Large, served by Decision Models, has the highest accuracy among zero-shot models (0.791, scored one question per request). [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, answering a whole case in one request.** 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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  closer to the gold (KL 0.096 vs 1.442), it is faster end to end, and it costs less
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  per token. It answers `POST /v1/systemone` at
@@ -211,7 +195,7 @@ hf jobs run --flavor a100-large --timeout 2h \\
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  three clear the Prior on accuracy but not on KL. Jeff's own 83.1% comes from a
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  different five-benchmark panel. If there is a better way to serve them, open a
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  discussion and we will rescore.
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- - **Self-reported rows** (§ above, and the second table) come from discussions
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  [#5](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/5)
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  (prima-ratio), [#7](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/7)
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  (Bongard-mini), [#8](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/8)
 
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  |---|---|---|---|---|---|---|---|---|
72
  | 1 | **[Quyet-1.0-Large](https://huggingface.co/chinhnc/Quyet-1.0-Large)** (31B) via [Decision Models](https://decisionmodels.io) (`quyet-1-large`) ([#38](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/38)) | general, zero-shot, open weights | **0.791** | 0.281 | 0.114 | 0.093 | 3,335 ms | $0.035 |
73
  | 2 | [meraGPT Decider 1](https://meragpt.com/models/state-decider-1?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=typed-decisions) (`sd-1`) | general, zero-shot | 0.768 | **0.096** | **0.052** | 0.180 | **526 ms** | $0.03 |
74
+ | 3 | [Amos 1 medium](https://huggingface.co/mukaddamzaid/amos-1-medium) (9B) ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.7645 | 0.151 | 0.080 | 0.103 | 118 ms (H100) | open weights |
75
+ | 4 | [Amos 1 large](https://huggingface.co/mukaddamzaid/amos-1-large) (27B) ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, zero-shot, open weights | 0.761 | 0.126 | 0.069 | 0.097 | 357 ms (H100) | open weights |
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+ | 5 | [pplx-decider-v1.1-27b](https://huggingface.co/perplexity-ai/pplx-decider-v1.1-27b) (27B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.753 | 0.441 | 0.160 | 0.060 | – | open weights |
77
+ | 6 | [d3](https://huggingface.co/vllm-sr/d3) (27B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.749 | 0.409 | 0.146 | 0.049 | – | open weights |
78
+ | 7 | [Darwin-27B-ZTC](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC) (27B) ([#17](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/17)) | general, zero-shot, open weights | 0.743 | 0.204 | 0.097 | – | – | open weights |
79
+ | 8 | [d3-mini](https://huggingface.co/vllm-sr/d3-mini) (4B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | general, zero-shot, open weights | 0.743 | 0.319 | 0.123 | 0.047 | – | open weights |
80
  | 9 | [Liquid AI d1](https://docs.liquid.ai/lfm/models/decision-models) (`d1:free`) | general, zero-shot | 0.742 | 0.475 | 0.155 | 0.124 | 525 ms | free tier |
81
+ | 10 | [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 |
82
  | 11 | [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 |
83
+ | 12 | [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 |
84
+ | 13 | [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 |
85
+ | 14 | [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 |
86
  | 15 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
87
  | 16 | [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 |
88
+ | 17 | [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 |
89
  | 18 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
90
+ | 19 | [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 |
91
+ | 20 | [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 |
92
+ | 21 | [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 |
93
+ | 22 | [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 |
94
+ | 23 | [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 |
95
+ | 24 | [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 |
96
+ | 25 | [OpenDecider-small](https://huggingface.co/manjunathshiva/opendecider-small) | general, zero-shot, open weights | 0.671 | 0.211 | 0.117 | – | 40 ms | open weights |
97
+ | 26 | [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 |
98
+ | 27 | [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 |
99
+ | 28 | [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 |
100
+ | 29 | [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 |
101
+ | 30 | [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 |
102
+ | 31 | [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 |
103
+ | 32 | [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 |
104
+ | 33 | [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 |
105
+ | 34 | [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 |
106
+ | 35 | [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 |
107
+ | 36 | [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 |
108
  | – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
109
  | – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
110
 
 
 
 
 
 
 
111
  ### Fitted or fine-tuned on `train`
112
 
113
  These models were trained on this benchmark's `train` split, so they are not
114
+ zero-shot and their scores are not comparable with the table above.
 
 
 
 
115
 
116
  | # | Model | Kind | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | Reported latency |
117
  |---|---|---|---|---|---|---|---|
118
+ | 1 | [Decider-4B](https://huggingface.co/roudone/Decider-4B) (Qwen3.5-4B + LoRA) ([#36](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/36)) | general, then fine-tuned on `train` and other decision data, temperature-calibrated | 0.8205 | 0.301 | 0.132 | 0.031 | 117 ms (A800) |
119
+ | 2 | [Arbiter-4B](https://huggingface.co/Goddragon/Arbiter-4B) (from NeoHorse-Jev-4B + LoRA) ([#34](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/34)) | general, then fine-tuned on `train` and other decision data, temperature-calibrated | 0.817 | 0.092 | 0.048 | 0.184 | 133 ms (A800) |
120
  | 3 | [Darwin-27B-ZTC-v5](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v5) (27B, full fine-tune) ([#33](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/33)) | general, then fine-tuned on `train` | 0.812 | – | – | – | – |
121
+ | 4 | [ministral3-3b-reasoning-typed-decisions](https://huggingface.co/rony/ministral3-3b-reasoning-typed-decisions) (Ministral 3 3B Reasoning, full fine-tune) ([#30](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/30)) | specialist | 0.808 | 0.077 | 0.042 | 0.182 | 373 ms (GB10) |
122
+ | 5 | [Amos 1 large](https://huggingface.co/mukaddamzaid/amos-1-large) (27B), per-question priors fitted on `train` ([#31](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/31)) | general, then fitted on `train` (one log-prior bias per question and option; no weights changed) | 0.8025 | 0.122 | – | – | 357 ms |
123
+ | 6 | [OpenDecider-large-td](https://huggingface.co/manjunathshiva/opendecider-large-td) (Qwen3-Next-80B-A3B + LoRA) | general, then fine-tuned on `train` | 0.801 | 0.081 | 0.044 | – | 440 ms |
124
+ | 7 | [od1-typed-decisions](https://huggingface.co/mvbalaji/od1-typed-decisions) (Qwen3.5-4B) | specialist | 0.797 | 0.082 | 0.045 | 0.156 | – |
125
+ | 8 | [OpenDecider-nano](https://huggingface.co/manjunathshiva/opendecider-nano) (400M encoder) | general, then fine-tuned on `train` | 0.796 | 0.079 | 0.043 | – | 17 ms |
126
+ | 9 | [OpenDecider-small-td](https://huggingface.co/manjunathshiva/opendecider-small-td) (Qwen3-4B + LoRA) | general, then fine-tuned on `train` | 0.792 | 0.080 | 0.043 | – | 40 ms |
127
+ | 10 | [Phocinae-Largha-150M-v1](https://huggingface.co/Phocinae/Phocinae-Largha-150M-v1) (mmBERT-small, 144.3M) | specialist | 0.791 | – | – | – | 21.0 ms (RTX 5090) |
128
+ | 11 | [OpenDecider-medium-td](https://huggingface.co/manjunathshiva/opendecider-medium-td) (Qwen3-30B-A3B + LoRA) | general, then fine-tuned on `train` | 0.788 | 0.081 | 0.044 | – | 214 ms |
129
+ | 12 | [soft-decider-421m](https://huggingface.co/winwinwinbb/soft-decider-421m) | specialist | 0.774 | – | – | 0.141 | 50 ms |
130
+ | 13 | [Qwen3.5-4B-typed-decisions](https://huggingface.co/wozniakos10/Qwen3.5-4B-typed-decisions) (Qwen3.5-4B + LoRA, Clef head) | general, then fine-tuned on `train` | 0.7725 | 0.0992 | 0.0543 | 0.139 | – |
131
+ | 14 | [embeddinggemma-2-ft-typed-decision](https://huggingface.co/mrm8488/embeddinggemma-2-ft-typed-decision) (0.3B) ([#37](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/37)) | fine-tuned on `train` | 0.770 | 0.119 | 0.065 | 0.155 | – |
132
  | 15 | [Laya typed-decisions](https://huggingface.co/convaiinnovations/laya-typed-decisions) | fitted on `train` | 0.766 | – | – | – | – |
133
+ | 16 | [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 |
134
+ | 17 | [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) |
135
+ | 18 | [ProKope-421M-8K](https://huggingface.co/ProKope-AI/ProKope-421M-8K) (421M, 8K context) | specialist | 0.7185 | – | 0.385 | – | 43 ms |
136
+ | 19 | [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 |
137
+ | 20 | [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 |
138
+ | 21 | [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 | – |
139
+ | 22 | ModernBERT-base (149M), ours | specialist, fitted per workflow | 0.646 | 0.223 | 0.119 | 0.179 | 349 ms |
140
+ | 23 | MiniLM-L6 (22M), ours | specialist, fitted per workflow | 0.587 | 0.262 | 0.143 | 0.108 | 22 ms |
141
+ | 24 | [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 |
142
+ | 25 | [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 |
143
+
144
+ **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
 
 
 
 
 
 
145
  0.775, `choice` 0.733 vs 0.720, `score` 0.739 vs 0.696), its distributions sit far
146
  closer to the gold (KL 0.096 vs 1.442), it is faster end to end, and it costs less
147
  per token. It answers `POST /v1/systemone` at
 
195
  three clear the Prior on accuracy but not on KL. Jeff's own 83.1% comes from a
196
  different five-benchmark panel. If there is a better way to serve them, open a
197
  discussion and we will rescore.
198
+ - **Self-reported rows** come from discussions
199
  [#5](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/5)
200
  (prima-ratio), [#7](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/7)
201
  (Bongard-mini), [#8](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/8)