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8b05bb6d18
mlx-examples/llms/mlx_lm
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Awni Hannun 8b05bb6d18
[mlx-lm] Use sdpa in llama / mistral model (#515) 
* use sdpa

* update a few more models

* version

* fix stablelm type
2024-03-07 17:41:23 -08:00
..
examples Support for slerp merging models (#455) 2024-02-19 20:37:15 -08:00
models [mlx-lm] Use sdpa in llama / mistral model (#515) 2024-03-07 17:41:23 -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] Use sdpa in llama / mistral model (#515) 2024-03-07 17:41:23 -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 [mlx-lm] Use sdpa in llama / mistral model (#515) 2024-03-07 17:41:23 -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.