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b468091f7f
* Add model management functionality for local caches This commit introduces a set of command-line utilities for managing MLX models downloaded and saved locally in Hugging Face cache. The functionalities include scanning existing models, retrieving detailed information about a specific model, and deleting a model by its name. * Added mlx_lm.model to setup.py * nits --------- Co-authored-by: Awni Hannun <awni@apple.com> |
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| .. | ||
| examples | ||
| models | ||
| tuner | ||
| __init__.py | ||
| convert.py | ||
| fuse.py | ||
| generate.py | ||
| gguf.py | ||
| LORA.md | ||
| lora.py | ||
| MANAGE.md | ||
| manage.py | ||
| MERGE.md | ||
| merge.py | ||
| py.typed | ||
| README.md | ||
| requirements.txt | ||
| sample_utils.py | ||
| SERVER.md | ||
| server.py | ||
| tokenizer_utils.py | ||
| UPLOAD.md | ||
| utils.py | ||
| version.py | ||
Generate Text with MLX and 🤗 Hugging Face
This an example of large language model text generation that can pull models from the Hugging Face Hub.
For more information on this example, see the README in the parent directory.
This package also supports fine tuning with LoRA or QLoRA. For more information see the LoRA documentation.