Decision 1.0 Lex · Snake (Core ML)
A Snake-playing variant of Decision-1.0-Lex-0.6B for on-device use. Its Choice path was fine-tuned on heuristic Snake decisions; the Noul and Score paths are unchanged from Lex. Layout and runtime match FluidInference/decision-1.0-lex-coreml: only coreml/choice.mlpackage differs, so it drops in wherever that repository is used, including FluidUse (decision-1.0-lex-snake).
| Path | Tokens | Candidates | Precision |
|---|---|---|---|
coreml/choice.mlpackage (fine-tuned) |
128 | 3 | FP16 |
coreml/noul.mlpackage, coreml/score.mlpackage (+ -embedding-w8 variants) |
128 | 2 / 3 | FP16 / embedding W8 (identical to Decision-1.0-Lex) |
Snake
FluidUse SnakeCheck, 10×10 board, seeds 1–10. Each turn the model picks one of three non-reversing moves, each labeled with its consequence (for example left: closer to food, safe or up: crash).
| Decision 1.0 Lex | This model | Rule-based heuristic | |
|---|---|---|---|
| Food, 300-move cap | 112 | 293 | 305 |
| Food, no move cap | — | 345 | 344 |
| Moves per game (cap) | 127 | 292 | 298 |
| Games lost to an avoidable crash | 3 | 0 | 0 |
| Median decision, M5 Pro | 4.1 ms | 3.9 ms | — |
It relies on the move labels: with bare directions (up / left / right) it scores like the base model.
Other tasks
Same harness for both models; these are relative comparisons, not leaderboard scores.
| Task | Decision 1.0 Lex | This model |
|---|---|---|
| Typed-decisions TEST, Choice (600) | 72.0 % | 71.7 % |
| ARC-Easy (1,000) | 46.3 % | 43.4 % |
| HellaSwag (1,000) | 36.8 % | 37.7 % |
| BANKING77 (1,000, 77 intents) | 27.0 % | 27.9 % |
| CLINC150 (1,000, 151 intents) | 28.1 % | 15.3 % |
Use Decision-1.0-Lex for general decisions, especially routing across many options: this model leans harder on a single default answer when given long option lists.
Parity
The Core ML Choice package matches the fine-tuned native model on 200 held-out Snake decisions (max probability error 6.6e-4, every choice identical).
License
The Decision contributions are Apache 2.0. The inherited tokenizer has additional Gemma-origin terms. See LICENSE, NOTICE, LICENSING_STATUS.md, DISTRIBUTION_TERMS.md and LICENSES/, unchanged from the base model.
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Model tree for FluidInference/decision-1.0-lex-snake-coreml
Base model
jhu-clsp/mmBERT-base