mlx-examples/llms/mlx_lm
Anchen 13794a05da
chore(mlx-lm): add adapter support in generate.py (#494)
* chore(mlx-lm): add adapter support in generate.py

* chore: remove generate from lora.py and raise error to let user use mlx_lm.generate instead
2024-02-28 07:49:25 -08:00
..
examples Support for slerp merging models (#455) 2024-02-19 20:37:15 -08:00
models [mlx-lm] Add precompiled normalizations (#451) 2024-02-22 12:40:55 -08:00
tuner Gemma support (#474) 2024-02-21 08:47:13 -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 Prevent llms/mlx_lm from serving the local directory as a webserver (#498) 2024-02-27 19:40:42 -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 Prevent llms/mlx_lm from serving the local directory as a webserver (#498) 2024-02-27 19:40:42 -08:00
UPLOAD.md Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
utils.py Add metadata when saving safetensors (#496) 2024-02-28 07:29:00 -08:00
version.py Fix import warning (#479) 2024-02-27 08:47:56 -08:00

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.