Individual skill

huggingface-local-models

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.

skills/huggingface-local-models/SKILL.md

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# Hugging Face Local Models

Search the Hugging Face Hub for llama.cpp-compatible GGUF repos, choose the right quant, and launch the model with `llama-cli` or `llama-server`.

## Default Workflow

1. Search the Hub with `apps=llama.cpp`.
2. Open `https://huggingface.co/<repo>?local-app=llama.cpp`.
3. Prefer the exact HF local-app snippet and quant recommendation when it is visible.
4. Confirm exact `.gguf` filenames with `https://huggingface.co/api/models/<repo>/tree/main?recursive=true`.
5. Launch with `llama-cli -hf <repo>:<QUANT>` or `llama-server -hf <repo>:<QUANT>`.
6. Fall back to `--hf-repo` plus `--hf-file` when the repo uses custom file naming.
7. Convert from Transformers weights only if the repo does not already expose GGUF files.
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