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ZurichNLP
/
mlit-llama-3-8b-ml2

PEFT
Model card Files Files and versions
xet
Community

Instructions to use ZurichNLP/mlit-llama-3-8b-ml2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ZurichNLP/mlit-llama-3-8b-ml2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B")
    model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-llama-3-8b-ml2")
  • Notebooks
  • Google Colab
  • Kaggle
mlit-llama-3-8b-ml2
680 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
tannonk's picture
tannonk
finetuned llama 3
26b9a20 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    88 Bytes
    initial commit about 2 years ago
  • adapter_config.json
    526 Bytes
    initial commit about 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    671 MB
    xet
    initial commit about 2 years ago
  • special_tokens_map.json
    9.69 kB
    initial commit about 2 years ago
  • tokenizer.json
    9.08 MB
    initial commit about 2 years ago
  • tokenizer_config.json
    60.5 kB
    initial commit about 2 years ago