mirror of
https://github.com/ml-explore/mlx-examples.git
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![]() * Initial implementation * Fix handling of return_step_logits in return * Fixed OpenAI parameter expectations and logprob structure and datatypes * pre-commit black formatting * Remove unused parameter * fix log probs * fix colorize * nits in server * nits in server * Fix top_logprobs structure (a dict) and include tokens in logprobs response * nits * fix types --------- 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.