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@ -245,6 +245,8 @@ The [Hugging Face](https://huggingface.co) platform hosts a [number of LLMs](htt
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- [Trending](https://huggingface.co/models?library=gguf&sort=trending)
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- [LLaMA](https://huggingface.co/models?sort=trending&search=llama+gguf)
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You can either manually download the GGUF file or directly use any `llama.cpp`-compatible models from Hugging Face by using this CLI argument: `-hf <user>/<model>[:quant]`
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After downloading a model, use the CLI tools to run it locally - see below.
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`llama.cpp` requires the model to be stored in the [GGUF](https://github.com/ggerganov/ggml/blob/master/docs/gguf.md) file format. Models in other data formats can be converted to GGUF using the `convert_*.py` Python scripts in this repo.
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