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* Convert HF weights of PLaMo and load it to a plamo model in mlx * Fix model inference part * Add bos at the beginning of the prompt * Fix convert.py to copy tokenizer.model into the converted dir * Use the required insturction format in generate.py when "--instruct" option is specified * Change filenames and update existing scripts * Add README * Add requirements.txt * Fix plamo.py to stop generation when EOS appears * Add quantization to convert.py * Use mlx>=0.0.9 for mx.core.outer() in PLaMo model * Update acknowledgements.md * Fix card text in upload_to_hub() * Not use prompt template when --instruct is not specified * Ask if you trust_remote_code for loading tokenizer of PLaMo * Check the user trusts the remote code when converting * Remove plamo directory * Update README * Add PLaMo model file * Fix the handling of cache in PLaMo and update README * Ask if trust_remote_code only when the model is PLaMo * Remove resolve_trust_remote_code from convert.py and use the latest transformers * Remove code not to add EOS * Update README to fix an example not to use noncommercial version of the model * Remove unused imports * Remove unnecessary description about the instruct model of PLaMo from README * format, nits in README * typo --------- Co-authored-by: Shunta Saito <shunta@mitmul-mbp.local> Co-authored-by: Awni Hannun <awni@apple.com>
13 lines
452 B
Markdown
13 lines
452 B
Markdown
# Individual Contributors
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If you wish to be acknowledged for your contributions, please list your name
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with a short description of your contribution(s) below. For example:
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- Jane Smith: Added the `foo` example.
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MLX Examples was developed with contributions from the following individuals:
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- Juarez Bochi: Added support for T5 models.
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- Sarthak Yadav: Added the `cifar` and `speechcommands` examples.
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- Shunta Saito: Added support for PLaMo models.
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