Leaderboard: add 18 zero-shot and 2 fitted rows scored by SaylorTwift (#37), linne-oak 1.0 (#35), Arbiter-4B (#34), Decider-4B (#36), SafeDecide-140M (#39)

README.md

@@ -72,39 +72,63 @@ the two tables are not comparable.
 | 1 | **[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** |
 | 2 | [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 |
 | 3 | [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 |
-| 4 | [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 |
-| 5 | [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 |
-| 6 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
-| 7 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
-| 8 | [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 |
-| 9 | [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 |
-| 10 | [OpenDecider-small](https://huggingface.co/manjunathshiva/opendecider-small) § | general, zero-shot, open weights | 0.671 | 0.211 | 0.117 | – | 40 ms‡ | open weights |
-| 11 | [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 |
-| 12 | [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 |
-| 13 | [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 |
-| 14 | [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 |
+| 4 | [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 |
+| 5 | [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 |
+| 6 | [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 |
+| 7 | [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 |
+| 8 | [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 |
+| 9 | [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 |
+| 10 | [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 |
+| 11 | [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 |
+| 12 | [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 |
+| 13 | TypeSafe Jev 1.13.0 | general, zero-shot | 0.727 | 1.442 | 0.148 | 0.144 | 710 ms | $0.042 |
+| 14 | [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 |
+| 15 | [Featherless Simple Jev](https://simple-jev.featherless.ai) (`Qwen3.6-35B-A3B-classifier`) | general, zero-shot | 0.716 | 0.488 | 0.176 | – | – | free demo |
+| 16 | [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 |
+| 17 | [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 |
+| 18 | [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 |
+| 19 | [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 |
+| 20 | [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 |
+| 21 | [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 |
+| 22 | [OpenDecider-small](https://huggingface.co/manjunathshiva/opendecider-small) § | general, zero-shot, open weights | 0.671 | 0.211 | 0.117 | – | 40 ms‡ | open weights |
+| 23 | [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 |
+| 24 | [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 |
+| 25 | [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 |
+| 26 | [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 |
+| 27 | [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 |
+| 28 | [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 |
+| 29 | [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 |
+| 30 | [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 |
+| 31 | [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 |
+| 32 | [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 |
+| 33 | [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 |
 | – | Prior (ignores the input) | reference | 0.470 | 0.347 | 0.189 | 0.088 | – | – |
 | – | Uniform (same probability on every option) | reference | 0.308 | 0.444 | 0.238 | 0.169 | – | – |
 
-Every row was scored by sending the whole case (state plus all five questions) in
-one request. Request shape matters: in a third-party run Jev's yes/no accuracy was
+Every row except those marked ♠ was scored by sending the whole case (state plus
+all five questions) in one request. Request shape matters: in a third-party run Jev's yes/no accuracy was
 0.843 with one question per request and 0.788 alongside the others.
 
 Hosted rows are p50 end to end from a client, one request at a time.
 † Measured on the same machine as the model (M3 Max), not comparable with hosted latency.
 ‡ Reported by the submitter on their own hardware (a different GPU and a different unit for each), not comparable with the other rows.
 § 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.
+◆ 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.
+♠ Scored through the model's native `POST /v1/decide`, one decision per request, not one request per case.
 
 ### Fitted or fine-tuned on `train`
 
 These models were trained on this benchmark's `train` split, so they are not
 zero-shot and their scores are not comparable with the table above. All were
 self-reported in the linked discussions and were not re-run by us, except the two
-specialists marked ours and the three Bekko rows, which we scored ourselves. Scores well above the 0.735 teacher self-agreement mean a
+specialists marked ours and the three Bekko rows, which we scored ourselves, and
+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
 model is learning the teacher's quirks.
 
 | Model | Kind | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | Reported latency |
 |---|---|---|---|---|---|---|
+| [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) |
+| [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) |
 | [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 | – | – | – | – |
 | [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) |
 | [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‡ |
@@ -116,11 +140,14 @@ model is learning the teacher's quirks.
 | [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‡ |
 | [soft-decider-421m](https://huggingface.co/winwinwinbb/soft-decider-421m) | specialist | 0.774 | – | – | 0.141¶ | 50 ms‡ |
 | [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¶ | – |
+| [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 | – |
 | [Laya typed-decisions](https://huggingface.co/convaiinnovations/laya-typed-decisions) | fitted on `train` | 0.766 | – | – | – | – |
 | [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‡ |
+| [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) |
 | [ProKope-421M-8K](https://huggingface.co/ProKope-AI/ProKope-421M-8K) (421M, 8K context) | specialist | 0.7185 | – | 0.385§§ | – | 43 ms‡ |
 | [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‡ |
 | [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† |
+| [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 | – |
 | ModernBERT-base (149M), ours | specialist, fitted per workflow | 0.646 | 0.223 | 0.119 | 0.179 | 349 ms† |
 | MiniLM-L6 (22M), ours | specialist, fitted per workflow | 0.587 | 0.262 | 0.143 | 0.108 | 22 ms† |
 | [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† |
@@ -193,8 +220,12 @@ hf jobs run --flavor a100-large --timeout 2h \\
   (Bongard-mini), [#8](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/8)
   (OpenDecider), [#4](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/4)
   (od1), [#3](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/3)
-  (soft-decider) and [#2](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/2)
-  (Laya). Each submitter states the mode; we have not re-run them. If a number looks
+  (soft-decider), [#2](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/2)
+  (Laya), [#34](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/34)
+  (Arbiter-4B), [#35](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/35)
+  (linne-oak 1.0), [#36](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/36)
+  (Decider-4B) and [#39](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/discussions/39)
+  (SafeDecide, which scores each question on its own rather than all five in one request). Each submitter states the mode; we have not re-run them. If a number looks
   wrong, say so in the discussion and we will correct it.
 - **Bekko System One v0** ([hotchpotch](https://huggingface.co/collections/hotchpotch/bekko-system-one-v0-6abc47eab9c4fe4ec83d9e30)) was scored by us on 2026-10-01 on CPU (M3 Max, one call per case with all five questions, pinned revisions `b886a1f9` 17M, `ab7685f2` 68M, `1960df56` 400M), with the same scorer as the other rows. Its training data includes this benchmark's `train` split, with our teacher labels, so it sits in the second table; none of our 400 test cases are in its training data. We mapped our option and rubric text onto its candidate format in our option order. Its model cards say the license is not yet finalized. The author invited a score on X; we are glad to re-score with a different input mapping if he prefers.
 - **Specialists** use [Adaptive Classifier](https://github.com/codelion/adaptive-classifier)