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jncraton
/
SmolLM-360M-Instruct-ct2-int8

Transformers
English
alignment-handbook
trl
sft
Model card Files Files and versions
xet
Community

Instructions to use jncraton/SmolLM-360M-Instruct-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jncraton/SmolLM-360M-Instruct-ct2-int8 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jncraton/SmolLM-360M-Instruct-ct2-int8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SmolLM-360M-Instruct-ct2-int8
366 MB
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  • 1 contributor
History: 3 commits
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jncraton
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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.bin
    363 MB
    xet
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  • special_tokens_map.json
    565 Bytes
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  • tokenizer.json
    2.1 MB
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  • tokenizer_config.json
    3.59 kB
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  • vocabulary.json
    812 kB
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