mlx-examples/llms/mlx_lm
2024-04-22 07:50:06 -07:00
..
examples Configurable LR schedulers (#604) 2024-03-29 13:41:10 -07:00
models Quantize embedding / Update quantize API (#680) 2024-04-18 18:16:10 -07:00
tuner fix dequantization (#693) 2024-04-19 10:46:59 -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 Create executables for generate, lora, server, merge, convert (#682) 2024-04-16 16:08:49 -07:00
lora.py Create executables for generate, lora, server, merge, convert (#682) 2024-04-16 16:08:49 -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 Create executables for generate, lora, server, merge, convert (#682) 2024-04-16 16:08:49 -07:00
server.py use logging in mlx server (#705) 2024-04-22 07:50:06 -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 Add support for logit bias (#697) 2024-04-21 06:53:56 -07:00
version.py Quantize embedding / Update quantize API (#680) 2024-04-18 18:16:10 -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.