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7cdd1b69ac
mlx-examples/llms/mlx_lm
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Awni Hannun 7cdd1b69ac
Enable unit testing in Circle and start some MLX LM tests (#545) 
* add a few tests for mlx lm

* add a few tests for mlx lm

* add a few tests for mlx lm

* more tests / cleanup
2024-03-07 09:31:57 -08:00
..
examples Support for slerp merging models (#455) 2024-02-19 20:37:15 -08:00
models Enable unit testing in Circle and start some MLX LM tests (#545) 2024-03-07 09:31:57 -08:00
tuner Add Starcoder 2 (#502) 2024-03-02 19:39:23 -08:00
__init__.py Fix import warning (#479) 2024-02-27 08:47:56 -08:00
convert.py Fix import warning (#479) 2024-02-27 08:47:56 -08:00
fuse.py feat(mlx-lm): add de-quant for fuse.py (#365) 2024-01-25 18:59:32 -08:00
generate.py chore(mlx-lm): add adapter support in generate.py (#494) 2024-02-28 07:49:25 -08:00
LORA.md chore(mlx-lm): add adapter support in generate.py (#494) 2024-02-28 07:49:25 -08:00
lora.py chore(mlx-lm): add adapter support in generate.py (#494) 2024-02-28 07:49:25 -08:00
MERGE.md Support for slerp merging models (#455) 2024-02-19 20:37:15 -08:00
merge.py Refactoring of mlx_lm example (#501) 2024-03-06 06:24:31 -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 [mlx-lm] Add precompiled normalizations (#451) 2024-02-22 12:40:55 -08:00
SERVER.md Prevent llms/mlx_lm from serving the local directory as a webserver (#498) 2024-02-27 19:40:42 -08:00
server.py Refactoring of mlx_lm example (#501) 2024-03-06 06:24:31 -08:00
UPLOAD.md Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
utils.py Refactoring of mlx_lm example (#501) 2024-03-06 06:24:31 -08:00
version.py Fix import warning (#479) 2024-02-27 08:47:56 -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.