mirror of
https://github.com/ml-explore/mlx-examples.git
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cd8efc7fbc
* add dynamicNTK scaling rope * remove unused var * fix rope base * llama3.1 fixes * TODO for rope eval * vectorise llama3 base freq calculation * removed the arbitrary 2.0 rope_scale default case * fix slow llama3.1 generation by evaluating stateless part of DynamicNTKScalingRoPE in init * nits + format * use mx.pi * fix tests and add test for 3.1 --------- Co-authored-by: Prince Canuma <prince.gdt@gmail.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.