Lucasgitguy-co/spot-snake-d1-2B-v0.1
AI model by Lucasgitguy-co
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Model card & documentation
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LiquidAI/d1-2B post-trained to pick moves in Spot's Biscuit Snake. It learns from the Spot Snake Decisions dataset: the game offers the safe moves and the model ranks them, copying a simple teacher that keeps the most open room. Teacher agreement: how often the model picks a move the teacher accepts. This is not game score, win rate or speed; those have not been measured. GGUF, with llama.cpp at revision 1b6935b or later: The scripts, dataset generator and step-by-step instructions are in the dataset repo (scripts/, INSTRUCTIONS.md). Loads with AutoModel.frompretrained(..., trustremotecode=True); it runs the upstream d1…
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Model overview
Lucasgitguy-co/spot-snake-d1-2B-v0.1 is a task-unspecified model repository published by Lucasgitguy-co on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,918,181,888
- Architecture
- D1Model
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-05T06:37:16.000Z
- Last modified
- 2026-11-05T06:42:22.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: LiquidAI/d1-2B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-05T06:53:23.390Z. Daily imports are snapshots, not real-time monitoring.
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