mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-09-26 00:58:11 +08:00

Files

Awni Hannun 95f82e67a2 Fix import warning (#479 )

* fix import warning
* fix version import
* remove api, move convert to utils
* also update circle to run external PRs

2024-02-27 08:47:56 -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

Fix import warning (#479 )

2024-02-27 08:47:56 -08:00

LORA.md

Support for slerp merging models (#455 )

2024-02-19 20:37:15 -08:00

lora.py

LoRA: Extract the run function for easy use in scripts file (#482 )

2024-02-26 19:35:04 -08:00

MERGE.md

Support for slerp merging models (#455 )

2024-02-19 20:37:15 -08:00

merge.py

Fix import warning (#479 )

2024-02-27 08:47:56 -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

chore(mlx-lm): refactor server.py to utilize generate_step from utils for consistency (#491 )

2024-02-27 06:25:24 -08:00

server.py

Fix import warning (#479 )

2024-02-27 08:47:56 -08:00

UPLOAD.md

Mlx llm package (#301 )

2024-01-12 10:25:56 -08:00

utils.py

Fix import warning (#479 )

2024-02-27 08:47:56 -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.