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intervitens
/
internlm2-limarp-lora

PEFT
llama
Generated from Trainer
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use intervitens/internlm2-limarp-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use intervitens/internlm2-limarp-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/data/internlm2-base-20b-llama")
    model = PeftModel.from_pretrained(base_model, "intervitens/internlm2-limarp-lora")
  • Notebooks
  • Google Colab
  • Kaggle
internlm2-limarp-lora
2.62 GB
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  • 1 contributor
History: 2 commits
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intervitens
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  • .gitattributes
    1.52 kB
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  • README.md
    3.91 kB
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  • adapter_config.json
    660 Bytes
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  • adapter_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    2.62 GB
    xet
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  • config.json
    1.12 kB
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  • lora.yml
    1.18 kB
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  • special_tokens_map.json
    551 Bytes
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  • tokenizer.model
    1.48 MB
    xet
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  • tokenizer_config.json
    2.06 kB
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