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mlx-examples/llms/mlx_lm
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Chime Ogbuji e446598f62
Passing parameterized loss and batching to trainer (#391)
2024-02-13 07:03:25 -08:00
..
models Lazy import + refactor Lora layer addition (#426) 2024-02-12 10:51:02 -08:00
tuner Passing parameterized loss and batching to trainer (#391) 2024-02-13 07:03:25 -08:00
__init__.py Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
convert.py feat: move lora into mlx-lm (#337) 2024-01-23 08:44:37 -08:00
fuse.py feat(mlx-lm): add de-quant for fuse.py (#365) 2024-01-25 18:59:32 -08:00
generate.py fix the chinese character generation as same as PR #321 (#342) 2024-01-23 12:44:23 -08:00
LORA.md feat: move lora into mlx-lm (#337) 2024-01-23 08:44:37 -08:00
lora.py Lazy import + refactor Lora layer addition (#426) 2024-02-12 10:51:02 -08:00
py.typed Add py.typed to support PEP-561 (type-hinting) (#389) 2024-01-30 21:17:38 -08:00
README.md feat: move lora into mlx-lm (#337) 2024-01-23 08:44:37 -08:00
requirements.txt Update a few examples to use compile (#420) 2024-02-08 13:00:41 -08:00
UPLOAD.md Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
utils.py Lazy import + refactor Lora layer addition (#426) 2024-02-12 10:51:02 -08:00

README.md

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.