BentoML Unsloth integrations
Installation
pip install "bentoml[unsloth]"
Examples.
See train.py
API
To use this integration, one can use bentoml.unsloth.build_bento:
bentoml.unsloth.build_bento(model, tokenizer)
If you model is continued froma fine-tuned checkpoint, then model_name must be passed as well:
bentoml.unsloth.build_bento(model, tokenizer, model_name="llama-3-continued-from-checkpoint")
[!important]
Make sure to save the chat templates to tokenizer instance to make sure generations are correct based on how you setup your data pipeline. See example and documentation for more information.
1 maintainer
Metadata
1 maintainer
Release files for bentoml-unsloth 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bentoml_unsloth-0.1.2.tar.gz | 6.0 kB | Without provenance | Details for bentoml_unsloth-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bentoml_unsloth-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for bentoml_unsloth-0.1.2-py3-none-any.whl |
Total release size: 12.8 kB
Release files / bentoml_unsloth-0.1.2.tar.gz
| Download URL | bentoml_unsloth-0.1.2.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/5.1.1 CPython/3.12.6
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Release files / bentoml_unsloth-0.1.2-py3-none-any.whl
| Download URL | bentoml_unsloth-0.1.2-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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twine/5.1.1 CPython/3.12.6
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