Chess Llama is an open-source language model by lazy-guy12. Features: 23m LLM, VRAM: 0.1GB, Context: 0.3K, LLM Explorer Score: 0.16.
Model Card on HF 🤗: https://huggingface.co/lazy-guy12/chess-llama
Chess Llama Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Chess Llama Parameters and Internals
| LLM Name | Chess Llama |
| Repository 🤗 | https://huggingface.co/lazy-guy12/chess-llama |
| Model Size | 23m |
| Required VRAM | 0.1 GB |
| Updated | 2026-07-12 |
| Maintainer | lazy-guy12 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 256 |
| Model Max Length | 256 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 1974 |
| Torch Data Type | float32 |
Rank the Chess Llama Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a