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ZurichNLP
/
mlit-mixtral_8x7b_ml2

PEFT
Model card Files Files and versions
xet
Community

Instructions to use ZurichNLP/mlit-mixtral_8x7b_ml2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ZurichNLP/mlit-mixtral_8x7b_ml2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1")
    model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-mixtral_8x7b_ml2")
  • Notebooks
  • Google Colab
  • Kaggle
mlit-mixtral_8x7b_ml2
3.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tannonk's picture
tannonk
finetuned mixtral
598cd1c verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    88 Bytes
    finetuned mixtral about 2 years ago
  • adapter_config.json
    520 Bytes
    finetuned mixtral about 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    3.88 GB
    xet
    finetuned mixtral about 2 years ago
  • special_tokens_map.json
    437 Bytes
    finetuned mixtral about 2 years ago
  • tokenizer.json
    1.8 MB
    finetuned mixtral about 2 years ago
  • tokenizer.model
    493 kB
    xet
    finetuned mixtral about 2 years ago
  • tokenizer_config.json
    969 Bytes
    finetuned mixtral about 2 years ago