mlx-examples/llms/mlx_lm
Awni Hannun 92430df0a0
Fix lora for qwen moe (#743)
* fix lora for qwen moe

* use max seq length in test as well
2024-05-02 21:55:09 -07:00
..
examples Update lora_config.yaml (#735) 2024-04-28 10:24:34 -07:00
models Fix lora for qwen moe (#743) 2024-05-02 21:55:09 -07:00
tuner Add support for OpenELM (#719) 2024-04-25 16:49:28 -07:00
__init__.py Fix import warning (#479) 2024-02-27 08:47:56 -08:00
convert.py Create executables for generate, lora, server, merge, convert (#682) 2024-04-16 16:08:49 -07:00
fuse.py Save lora config (#636) 2024-04-02 13:52:53 -07:00
generate.py Create executables for generate, lora, server, merge, convert (#682) 2024-04-16 16:08:49 -07:00
gguf.py fix(mlx-lm): type hints in gguf.py (#621) 2024-03-26 07:56:01 -07:00
LORA.md MiniCPM implementation (#685) 2024-04-25 15:29:28 -07:00
lora.py Fix lora for qwen moe (#743) 2024-05-02 21:55:09 -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 Quantize embedding / Update quantize API (#680) 2024-04-18 18:16:10 -07:00
sample_utils.py Use async eval (#670) 2024-04-11 13:18:23 -07:00
SERVER.md Validate server params & fix logit bias bug (#731) 2024-04-30 07:27:40 -07:00
server.py Validate server params & fix logit bias bug (#731) 2024-04-30 07:27:40 -07:00
tokenizer_utils.py Quantize embedding / Update quantize API (#680) 2024-04-18 18:16:10 -07:00
UPLOAD.md Mlx llm package (#301) 2024-01-12 10:25:56 -08:00
utils.py Update model card describe (#654) 2024-05-02 21:22:04 -07:00
version.py MiniCPM implementation (#685) 2024-04-25 15:29:28 -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.