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![]() * Added support for the MiniCPM architecture * Added support for the MiniCPM architecture * Updated utils.py and LORA.md * Updated utils.py and LORA.md * Update implementation details for MiniCPM architecture * Cleaning up * fixed the missing lm.head layer problem * Refactor Model class to dynamically handle tied and untied word embeddings * Quick update * added a dynamic rope scaling base calucaltion * Added support for the MiniCPM architecture * Added support for the MiniCPM architecture * Updated utils.py and LORA.md * Updated utils.py and LORA.md * Update implementation details for MiniCPM architecture * Cleaning up * fixed the missing lm.head layer problem * Refactor Model class to dynamically handle tied and untied word embeddings * added a dynamic rope scaling base calucaltion * quick fix and clean up * clean up again * removed the MiniCPMNorm class as its not used * forgot something, sorry * format * version bump --------- 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 | ||
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.