mlx-examples/llms/mlx_lm
Ivan Fioravanti d2a99172a6
Add dropout parameter to lora configuration (#599)
* Add dropout parameter to lora configuration

A dropout parameter has been added to the lora configuration settings in lora_config.yaml. The LoRALinear class in utils.py has been updated to take this new parameter. Additionally, a AttributeError: 'types.SimpleNamespace' object has no attribute 'prompt' related to `args.prompt` has been removed from lora.py.

* Update lora_config.yaml

Set dropout to 0.0 in the sample config file

* format

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Co-authored-by: Awni Hannun <awni@apple.com>
2024-03-20 08:44:40 -07:00
..
examples Add dropout parameter to lora configuration (#599) 2024-03-20 08:44:40 -07:00
models Make attention faster for a some models (#574) 2024-03-14 21:35:54 -07:00
tuner Add dropout parameter to lora configuration (#599) 2024-03-20 08:44:40 -07:00
__init__.py Fix import warning (#479) 2024-02-27 08:47:56 -08:00
convert.py add dequantize option to mlx_lm/convert.py (#547) 2024-03-19 19:50:08 -07:00
fuse.py feat: add update_config functionality (#531) 2024-03-14 06:36:05 -07:00
generate.py chore(mlx-lm): add adapter support in generate.py (#494) 2024-02-28 07:49:25 -08:00
LORA.md Support for OpenAI’s fine-tuning dataset format (#548) 2024-03-19 16:45:46 -07:00
lora.py Add dropout parameter to lora configuration (#599) 2024-03-20 08:44:40 -07:00
MERGE.md Support for slerp merging models (#455) 2024-02-19 20:37:15 -08:00
merge.py feat: add update_config functionality (#531) 2024-03-14 06:36:05 -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 Support for OpenAI’s fine-tuning dataset format (#548) 2024-03-19 16:45:46 -07:00
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 Set finish_reason in response (#592) 2024-03-19 20:21:26 -07:00
UPLOAD.md Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
utils.py add dequantize option to mlx_lm/convert.py (#547) 2024-03-19 19:50:08 -07:00
version.py version (#570) 2024-03-13 10:09:36 -07:00

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.