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https://github.com/ml-explore/mlx-examples.git
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df744c98e6
* Predict stop sequence matches during streaming Check for overlap of stop sequences and the tokens array for potential sequence matches after more tokens get generated. Generate tokens until we can confirm that the stop sequence is not met. * fix typo * Change sequence_overlap logic * range isn't inclusive, add 1 to max_overlap * Add test_server.py Added a test for the sequence_overlap method * nits * eos sequence * finalize --------- Co-authored-by: Y4hL <43219534+Y4hL@users.noreply.github.com> Co-authored-by: Awni Hannun <awni@apple.com> |
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| .. | ||
| examples | ||
| models | ||
| tuner | ||
| __init__.py | ||
| convert.py | ||
| fuse.py | ||
| generate.py | ||
| gguf.py | ||
| LORA.md | ||
| lora.py | ||
| MANAGE.md | ||
| manage.py | ||
| MERGE.md | ||
| merge.py | ||
| py.typed | ||
| README.md | ||
| requirements.txt | ||
| sample_utils.py | ||
| SERVER.md | ||
| server.py | ||
| tokenizer_utils.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.