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OfflineBase
/
Muse-Glimmer-30B-Knowledge-Stage-B-R30-LoRA

Text Generation
PEFT
Safetensors
knowledge-update
built-with-muse-spark-open
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use OfflineBase/Muse-Glimmer-30B-Knowledge-Stage-B-R30-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use OfflineBase/Muse-Glimmer-30B-Knowledge-Stage-B-R30-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-models/Muse-Glimmer-30B")
    model = PeftModel.from_pretrained(base_model, "OfflineBase/Muse-Glimmer-30B-Knowledge-Stage-B-R30-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
Muse-Glimmer-30B-Knowledge-Stage-B-R30-LoRA
1.71 GB
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  • 1 contributor
History: 8 commits
OfflineBase's picture
OfflineBase
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  • .gitattributes
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  • LICENSE
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  • MUSE_MODEL_LICENSE.md
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  • NOTICE
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  • README.md
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  • USAGE_POLICY.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
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  • processor_config.json
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  • tokenizer.json
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  • tokenizer_config.json
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