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Deadwalker0
/
maverick-34b-qlora

PEFT
TensorBoard
Safetensors
llama
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Deadwalker0/maverick-34b-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Deadwalker0/maverick-34b-qlora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-hf")
    model = PeftModel.from_pretrained(base_model, "Deadwalker0/maverick-34b-qlora")
  • Notebooks
  • Google Colab
  • Kaggle
maverick-34b-qlora
16.6 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
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Deadwalker0
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  • runs
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    678 Bytes
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  • adapter_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.92 GB
    xet
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  • added_tokens.json
    87 Bytes
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  • config.json
    1.14 kB
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  • special_tokens_map.json
    538 Bytes
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
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