mirror of
https://github.com/ml-explore/mlx-examples.git
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b0bcd86a40
* LoRA: move load_dataset to tuner/datasets.py file * LoRA: support OpenAI chat format datasets see https://platform.openai.com/docs/guides/fine-tuning/example-format * LoRA: support OpenAI completion format datasets * LoRA: formatting dataset timing to reduce memory footprint * Refactor dataset item access in PromptCompletionDataset * Update mlx_lm/LORA.md * Update mlx_lm/LORA.md * check Unsupported data format * add tests, fine-tune doc * add tests, fine-tune doc * add jinja2 for chat template * nits in readme * nits in readme --------- Co-authored-by: Awni Hannun <awni@apple.com> |
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| .. | ||
| examples | ||
| models | ||
| tuner | ||
| __init__.py | ||
| convert.py | ||
| fuse.py | ||
| generate.py | ||
| LORA.md | ||
| lora.py | ||
| MERGE.md | ||
| merge.py | ||
| py.typed | ||
| README.md | ||
| requirements.txt | ||
| SERVER.md | ||
| server.py | ||
| UPLOAD.md | ||
| utils.py | ||
| version.py | ||
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.