mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-10-28 17:08:07 +08:00

Files

madroid 485180ae91 LoRA: some minor optimizations (#573 )

* init training_args in training scope

* Add trainable parameters percentage

2024-03-13 20:26:30 -07:00

examples

Some improvements to LoRA (#528 )

2024-03-12 20:02:03 -07:00

models

Add support for Cohere's Command-R (#565 )

2024-03-13 07:03:36 -07:00

tuner

add peak_memory info to training callback (#572 )

2024-03-13 20:17:10 -07:00

__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

YAML configuration for mlx_lm.lora (#503 )

2024-03-08 07:57:52 -08:00

lora.py

LoRA: some minor optimizations (#573 )

2024-03-13 20:26:30 -07:00

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

chore(mlx-lm): fix tie_word_embeddings for qwen2 (#566 )

2024-03-12 21:34:32 -07:00

version.py

version (#570 )

2024-03-13 10:09:36 -07:00

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.