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Crackerjax2
/
Mixtral_Alpace_v2

PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Crackerjax2/Mixtral_Alpace_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Crackerjax2/Mixtral_Alpace_v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")
    model = PeftModel.from_pretrained(base_model, "Crackerjax2/Mixtral_Alpace_v2")
  • Notebooks
  • Google Colab
  • Kaggle

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  • runs
    Crackerjax2/aibibi almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    2.42 kB
    Crackerjax2/aibibi almost 3 years ago
  • adapter_config.json
    680 Bytes
    Crackerjax2/aibibi almost 3 years ago
  • adapter_model.safetensors
    752 MB
    xet
    Crackerjax2/aibibi almost 3 years ago
  • special_tokens_map.json
    437 Bytes
    Crackerjax2/aibibi almost 3 years ago
  • tokenizer.json
    1.8 MB
    Crackerjax2/aibibi almost 3 years ago
  • tokenizer_config.json
    1.46 kB
    Crackerjax2/aibibi almost 3 years ago
  • training_args.bin
    4.73 kB
    xet
    Crackerjax2/aibibi almost 3 years ago