mlx-examples/mlx_lm at 1e05aef344907d2697f82b3a5b5c00cdf21c298c - mlx-examples - Gitea for Geophysics

zhangyiss/mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-09-26 17:28:07 +08:00

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n8programs 1e05aef344 Add logit soft capping to gemma, and fix precision issues (#857 )

* Add logit soft capping to gemma, and fix precision issues

Gemma was babbling nonsense - so I figured out it was due to not having logit softcapping and precision issues causing NaNs (so I implemented the softcapping and added more float32 inference). gemma-27b-it-4bit now works flawlessly (or near-flawlessly, no sliding-window attention).

* get rid of comments

* get rid of last comments (sry lol)

* nits

---------

Co-authored-by: Awni Hannun <awni@apple.com>

2024-07-02 07:52:39 -07:00

..

Configuration-based use of HF hub-hosted datasets for training (#701 )

2024-06-26 10:20:50 -07:00

Add logit soft capping to gemma, and fix precision issues (#857 )

2024-07-02 07:52:39 -07:00

gemma2 (#855 )

2024-06-27 10:06:28 -07:00

__init__.py

mlx_lm: Add Streaming Capability to Generate Function (#807 )

2024-06-03 09:04:39 -07:00

convert.py

Create executables for generate, lora, server, merge, convert (#682 )

2024-04-16 16:08:49 -07:00

fuse.py

Block sparse MM MoEs (#782 )

2024-05-21 15:58:08 -07:00

generate.py

mlx_lm: Add Streaming Capability to Generate Function (#807 )

2024-06-03 09:04:39 -07:00

gguf.py

fix(mlx-lm): type hints in gguf.py (#621 )

2024-03-26 07:56:01 -07:00

LORA.md

Configuration-based use of HF hub-hosted datasets for training (#701 )

2024-06-26 10:20:50 -07:00

lora.py

Fixing "NameError: name 'resume_adapter_file' is not defined" (#817 )

2024-06-05 10:07:31 -07:00

MANAGE.md

Add model management functionality for local caches (#736 )

2024-05-03 12:20:13 -07:00

manage.py

Add model management functionality for local caches (#736 )

2024-05-03 12:20:13 -07:00

MERGE.md

Create executables for generate, lora, server, merge, convert (#682 )

2024-04-16 16:08:49 -07:00

merge.py

Create executables for generate, lora, server, merge, convert (#682 )

2024-04-16 16:08:49 -07:00

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

Port of phi3small (#794 )

2024-05-31 12:54:14 -07:00

sample_utils.py

Use async eval (#670 )

2024-04-11 13:18:23 -07:00

SERVER.md

Logprobs info to completion API (#806 )

2024-06-23 10:35:13 -07:00

server.py

Server loads the model on demand from the request (#851 )

2024-06-27 11:37:57 -07:00

tokenizer_utils.py

fix yi (#852 )

2024-06-27 06:38:19 -07:00

UPLOAD.md

Mlx llm package (#301 )

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

utils.py

Logprobs info to completion API (#806 )

2024-06-23 10:35:13 -07:00

version.py

Configuration-based use of HF hub-hosted datasets for training (#701 )

2024-06-26 10:20:50 -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.