Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
Submission: TypeScript/FastBrain-9B (9.4B): 0.7625 acc / 0.1508 KL / 0.0795 Brier (zero-shot) & 0.8070 acc / 0.0816 KL (fitted)
Browse filesHi! Here are the `test` split evaluation results (`400` cases / `2,000` decisions) for **[`TypeScript/FastBrain-9B`](https://huggingface.co/TypeScript/FastBrain-9B)** (`9.4B` parameters: `Qwen3.5-9B` hybrid Gated DeltaNet + Full-Attention backbone + `116M` `JointSchemaHead`, Apache-2.0).
Both `.eval_results/TypeScript__FastBrain-9B.yaml` and the full 2,000-decision prediction trace (`eval_submissions/typescript_fastbrain-9b.json`) are published in the model repository:
- Model repo: https://huggingface.co/TypeScript/FastBrain-9B
- Full `test` prediction trace: [`eval_submissions/typescript_fastbrain-9b.json`](https://huggingface.co/TypeScript/FastBrain-9B/blob/main/eval_submissions/typescript_fastbrain-9b.json)
---
### 1. Summary Metrics (`test` split — 400 cases, 2,000 decisions)
Scored using the exact `bench/score_with_jobs.py` / `scripts/score_model.py` arithmetic (one `/v1/systemone` forward pass per case, `0` generated output tokens):
| Table / Mode | Model Variant | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | `noul` Acc | `choice` Acc | `score` Acc | p50 Latency |
| :--- | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
| **Table 1 (`general`, zero-shot)** | **[`TypeScript/FastBrain-9B`](https://huggingface.co/TypeScript/FastBrain-9B)** *(zero-shot schema-calibrated)* | **0.7625** | **0.1508** | **0.0795** | **0.0947** | **0.8433** | **0.7600** | **0.7038** | **50.3 ms** *(SGLang)* / **62.4 ms** *(llama.cpp Q8_0)* |
| **Table 1 (`general`, zero-shot)** | **[`TypeScript/FastBrain-9B`](https://huggingface.co/TypeScript/FastBrain-9B)** *(uncalibrated raw head)* | 0.7180 | 0.2021 | 0.1059 | 0.0235 | 0.8167 | 0.7167 | 0.6462 | **50.3 ms** |
| **Table 2 (fitted on `train`)** | **[`TypeScript/FastBrain-9B`](https://huggingface.co/TypeScript/FastBrain-9B)** *(per-question priors & temperature fitted on `train`, no weights changed)* | **0.8070** | **0.0816** | **0.0437** | **0.1120** | **0.8900** | **0.7883** | **0.7625** | **50.3 ms** |
| **Table 2 (fitted on `train`)** | **[`TypeScript/FastBrain-9B`](https://huggingface.co/TypeScript/FastBrain-9B)** *(Ordinal-KL distilled `JointSchemaHead` on `train`, frozen 9B backbone)* | **0.7735** | **0.1039** | **0.0582** | **0.0890** | **0.8483** | **0.7483** | **0.7375** | **50.3 ms** |
---
### 2. Zero-Shot Breakdown by Workflow (`500` decisions each)
| Workflow | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | `noul` Acc | `choice` Acc | `score` Acc | `score` ±1 | `score` MAE ↓ |
| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
| `invoice_processing` | **0.8200** | 0.1727 | 0.0889 | 0.0602 | 0.9500 | 0.7800 | 0.7100 | 0.9500 | 0.3265 |
| `customer_service` | **0.7880** | 0.1546 | 0.0787 | 0.1213 | 0.8100 | 0.7550 | 0.8100 | 0.9850 | 0.1974 |
| `security_incidents` | **0.7440** | 0.1204 | 0.0659 | 0.1259 | 0.7800 | 0.8100 | 0.6750 | 0.9900 | 0.2630 |
| `agent_trace_observability` | **0.6980** | 0.1554 | 0.0843 | 0.0808 | 0.7900 | 0.7300 | 0.6200 | 0.9950 | 0.2616 |
| **All (`2,000` decisions)** | **0.7625** | **0.1508** | **0.0795** | **0.0947** | **0.8433** | **0.7600** | **0.7038** | **0.9800** | **0.2621** |
### 3. Reproducibility & Serving
`TypeScript/FastBrain-9B` is compatible out-of-the-box with:
1. **`joint_schema_model.py`** (`load_release_model` + `systemone()`, bundled in the repo)
2. **SGLang (`lmsysorg/sglang:dev-clef`)** via `POST /v1/systemone` (`50.29 ms` p50 latency on RTX PRO 6000 Blackwell)
3. **`llama.cpp` (`b11430`+ `ClefModel`)** via `FastBrain-9B-Q8_0.gguf` (`62.40 ms` p50 latency) and `FastBrain-9B-Q4_K_M.gguf` (`61.80 ms` p50 latency)
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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 | [Baseten Mammoth 1](https://openrouter.ai/baseten/mammoth-1) (27B, from Qwen3.5-27B) via OpenRouter (`baseten/mammoth-1:free`) | general, zero-shot | 0.768 | 0.122 | 0.063 | 0.153 | 415 ms | free tier |
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| 4 | [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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| – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
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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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**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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| 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 | [Baseten Mammoth 1](https://openrouter.ai/baseten/mammoth-1) (27B, from Qwen3.5-27B) via OpenRouter (`baseten/mammoth-1:free`) | general, zero-shot | 0.768 | 0.122 | 0.063 | 0.153 | 415 ms | free tier |
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| 4 | [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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| 5 | [FastBrain-9B](https://huggingface.co/TypeScript/FastBrain-9B) (9.4B) | general, zero-shot, open weights | 0.7625 | 0.151 | 0.079 | 0.095 | 50 ms (RTX PRO 6000) | open weights |
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| 6 | [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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| 7 | [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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| 8 | [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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| 80 |
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| 9 | [Baseten Elephant 1](https://openrouter.ai/baseten/elephant-1) (9B, from Qwen3.5-9B) via OpenRouter (`baseten/elephant-1:free`) | general, zero-shot | 0.748 | 0.134 | 0.069 | 0.162 | 352 ms | free tier |
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| 81 |
+
| 10 | [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 |
|
| 82 |
+
| 11 | [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 |
|
| 83 |
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| 12 | [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 |
|
| 84 |
+
| 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 |
|
| 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 |
|
| 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 |
|
| 87 |
+
| 16 | [nanoGentzen-Jev-v3](https://huggingface.co/Sagicc/nanoGentzen-Jev-v3) (4.93M) ([#52](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/52)) | general, zero-shot, open weights | 0.731 | 0.150 | 0.081 | 0.087 | 69 ms (local) | open weights |
|
| 88 |
+
| 17 | [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 |
|
| 89 |
+
| 18 | [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 |
|
| 90 |
+
| 19 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
|
| 91 |
+
| 20 | [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 |
|
| 92 |
+
| 21 | [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 |
|
| 93 |
+
| 22 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
|
| 94 |
+
| 23 | [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 |
|
| 95 |
+
| 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 |
|
| 96 |
+
| 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 |
|
| 97 |
+
| 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 |
|
| 98 |
+
| 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 |
|
| 99 |
+
| 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 |
|
| 100 |
+
| 29 | [OpenDecider-small](https://huggingface.co/manjunathshiva/opendecider-small) | general, zero-shot, open weights | 0.671 | 0.211 | 0.117 | – | 40 ms | open weights |
|
| 101 |
+
| 30 | [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 |
|
| 102 |
+
| 31 | [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 |
|
| 103 |
+
| 32 | [d1-2B](https://huggingface.co/LiquidAI/d1-2B) (2B) | general, zero-shot, open weights | 0.637 | 0.282 | 0.137 | 0.124 | – | open weights |
|
| 104 |
+
| 33 | [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 |
|
| 105 |
+
| 34 | [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 |
|
| 106 |
+
| 35 | [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 |
|
| 107 |
+
| 36 | [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 |
|
| 108 |
+
| 37 | [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 |
|
| 109 |
+
| 38 | [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 |
|
| 110 |
+
| 39 | [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 |
|
| 111 |
+
| 40 | [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 |
|
| 112 |
+
| 41 | [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 |
|
| 113 |
+
| 42 | [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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| 114 |
| – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
|
| 115 |
| – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
|
| 116 |
|
|
|
|
| 125 |
| 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) |
|
| 126 |
| 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 | – | – | – | – |
|
| 127 |
| 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) |
|
| 128 |
+
| 5 | [FastBrain-9B](https://huggingface.co/TypeScript/FastBrain-9B) (9.4B), per-question priors fitted on `train` | general, then fitted on `train` (no backbone weights changed) | 0.8070 | 0.0816 | 0.0437 | 0.112 | 50 ms (RTX PRO 6000) |
|
| 129 |
+
| 6 | [FastBrain-9B](https://huggingface.co/TypeScript/FastBrain-9B) (9.4B, Ordinal-KL distilled `JointSchemaHead`) | general, head distilled on `train` | 0.7735 | 0.1039 | 0.0582 | 0.089 | 50 ms (RTX PRO 6000) |
|
| 130 |
+
| 7 | [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 |
|
| 131 |
+
| 8 | [sysone-typed-decisions-0.4B](https://huggingface.co/forward-metric/sysone-typed-decisions-0.4B) (Ettin encoder 400M, full fine-tune) ([#44](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/44)) | specialist, temperature-calibrated | 0.8025 | 0.080 | 0.0438 | 0.174 | 40 ms (Colab L4) |
|
| 132 |
+
| 9 | [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 |
|
| 133 |
+
| 10 | [pramana-2b](https://huggingface.co/apracv/pramana-2b) (Qwen3.5-2B, two LoRA adapters averaged) ([#46](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/46)) | general, then fine-tuned on `train`, temperature-calibrated | 0.8005 | 0.0755 | 0.0415 | 0.1675 | – |
|
| 134 |
+
| 11 | [od1-typed-decisions](https://huggingface.co/mvbalaji/od1-typed-decisions) (Qwen3.5-4B) | specialist | 0.797 | 0.082 | 0.045 | 0.156 | – |
|
| 135 |
+
| 12 | [pramana-0.8b](https://huggingface.co/apracv/pramana-0.8b) (Qwen3.5-0.8B + LoRA) ([#46](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/46)) | general, then fine-tuned on `train`, temperature-calibrated | 0.7970 | 0.0819 | 0.0446 | 0.1646 | – |
|
| 136 |
+
| 13 | [OpenDecider-nano](https://huggingface.co/manjunathshiva/opendecider-nano) (400M encoder) | general, then fine-tuned on `train` | 0.796 | 0.079 | 0.043 | – | 17 ms |
|
| 137 |
+
| 14 | [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 |
|
| 138 |
+
| 15 | [Phocinae-Largha-150M-v1](https://huggingface.co/Phocinae/Phocinae-Largha-150M-v1) (mmBERT-small, 144.3M) | specialist | 0.791 | – | – | – | 21.0 ms (RTX 5090) |
|
| 139 |
+
| 16 | [nullspan](https://huggingface.co/gnumanth/nullspan) (ModernBERT-large, 395M, v1.3.0) ([#55](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/55)) | specialist, temperature-calibrated | 0.790 | 0.076 | 0.042 | 0.1665 | 48 ms (L4) |
|
| 140 |
+
| 17 | [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 |
|
| 141 |
+
| 18 | [SafeDecide-400M](https://huggingface.co/yotambr/safedecide-400m) (Ettin-encoder-400m, 400M) ([#39](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/39)) | fine-tuned on `train`, each question scored on its own | 0.787 | 0.083 | 0.045 | 0.171 | 605 ms (1 CPU thread) |
|
| 142 |
+
| 19 | [soft-decider-421m](https://huggingface.co/winwinwinbb/soft-decider-421m) | specialist | 0.774 | – | – | 0.141 | 50 ms |
|
| 143 |
+
| 20 | [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 | – |
|
| 144 |
+
| 21 | [lazydecider-0.8b](https://huggingface.co/rahulkumar0612/lazydecider-0.8b) (Qwen3.5-0.8B + LoRA, Clef joint-decision head) ([#47](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/47)) | specialist | 0.770 | 0.0938 | 0.0510 | 0.1454 | – |
|
| 145 |
+
| 22 | [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 | – |
|
| 146 |
+
| 23 | [Laya typed-decisions](https://huggingface.co/convaiinnovations/laya-typed-decisions) | fitted on `train` | 0.766 | – | – | – | – |
|
| 147 |
+
| 24 | [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 |
|
| 148 |
+
| 25 | [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) |
|
| 149 |
+
| 26 | [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 | – |
|
| 150 |
+
| 27 | [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) |
|
| 151 |
+
| 28 | [ProKope-421M-8K](https://huggingface.co/ProKope-AI/ProKope-421M-8K) (421M, 8K context) | specialist | 0.7185 | – | 0.385 | – | 43 ms |
|
| 152 |
+
| 29 | [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 | – |
|
| 153 |
+
| 30 | [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 |
|
| 154 |
+
| 31 | 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) |
|
| 155 |
+
| 32 | [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 |
|
| 156 |
+
| 33 | [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 | – |
|
| 157 |
+
| 34 | ModernBERT-base (149M), ours | specialist, fitted per workflow | 0.646 | 0.223 | 0.119 | 0.179 | 349 ms |
|
| 158 |
+
| 35 | MiniLM-L6 (22M), ours | specialist, fitted per workflow | 0.587 | 0.262 | 0.143 | 0.108 | 22 ms |
|
| 159 |
+
| 36 | [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 |
|
| 160 |
+
| 37 | [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 |
|
| 161 |
|
| 162 |
**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
|
| 163 |
0.775, `choice` 0.733 vs 0.720, `score` 0.739 vs 0.696), its distributions sit far
|