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Lambent
/
CosMoEAlpacaLight-8x1b

PEFT
PyTorch
mixtral
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Lambent/CosMoEAlpacaLight-8x1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Lambent/CosMoEAlpacaLight-8x1b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Lambent/cosmoem-8x1B")
    model = PeftModel.from_pretrained(base_model, "Lambent/CosMoEAlpacaLight-8x1b")
  • Notebooks
  • Google Colab
  • Kaggle
CosMoEAlpacaLight-8x1b
21.2 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
Lambent's picture
Lambent
Update README.md
4c122f7 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.98 kB
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  • adapter_config.json
    664 Bytes
    Update adapter_config.json over 2 years ago
  • adapter_model.bin
    812 MB
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    just lora adapter over 2 years ago
  • config.json
    836 Bytes
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  • generation_config.json
    137 Bytes
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  • pytorch_model-00001-of-00005.bin
    5 GB
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  • pytorch_model-00002-of-00005.bin
    5 GB
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  • pytorch_model-00003-of-00005.bin
    5 GB
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  • pytorch_model-00004-of-00005.bin
    5 GB
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  • pytorch_model-00005-of-00005.bin
    400 MB
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  • pytorch_model.bin.index.json
    69.5 kB
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  • special_tokens_map.json
    550 Bytes
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  • tokenizer.model
    493 kB
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  • tokenizer_config.json
    1.02 kB
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