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mlx-examples/llms/mlx_lm
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Chime Ogbuji c50971e860
Min P implementation (#926) 
* Min P implementation

* Change default to 0 (no min_p)

* nits

* nits

---------

Co-authored-by: Awni Hannun <awni@apple.com>
2024-08-15 15:45:02 -07:00
..
examples Example of response generation with optional arguments (#853) 2024-07-09 06:49:59 -07:00
models Unify attention mask in LLMs (#911) 2024-07-25 16:45:22 -07:00
tuner Add GPT-neox model (#863) 2024-07-11 06:13:17 -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 Whisper updates to allow HF models (#923) 2024-08-09 11:11:58 -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 Pass use_dora parameter to linear_to_lora_layers (#885) 2024-07-11 14:34:34 -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 Example of response generation with optional arguments (#853) 2024-07-09 06:49:59 -07:00
sample_utils.py Min P implementation (#926) 2024-08-15 15:45:02 -07:00
SERVER.md Adapters loading (#902) 2024-08-01 16:18:18 -07:00
server.py Predict stop sequence matches during streaming (#541) 2024-08-06 15:24:15 -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 Min P implementation (#926) 2024-08-15 15:45:02 -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.