Instructions to use nakas/chessgpt-coach-4b-v1-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use nakas/chessgpt-coach-4b-v1-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
chessgpt coach 4B (q4f16_1, MLC / WebLLM)
Qwen3-4B fine-tuned (LoRA, merged) to explain chess mistakes for chessgpt: it narrates engine-verified facts (Stockfish lines and program-detected motifs) at the player's rating level. Runs in the browser with WebLLM using the prebuilt Qwen3-4B q4f16_1 WebGPU library.
Weights are WebLLM's own mlc-ai/Qwen3-4B-q4f16_1-MLC build with the attention and MLP
projections replaced by the fine-tuned ones, quantized the same way (checked byte-for-byte
against the official build on the base model). Base model license: Apache-2.0.
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