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CharlesLi
/
mistral_cot_true_simple_lora

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

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

  • Libraries
  • PEFT

    How to use CharlesLi/mistral_cot_true_simple_lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
    model = PeftModel.from_pretrained(base_model, "CharlesLi/mistral_cot_true_simple_lora")
  • Notebooks
  • Google Colab
  • Kaggle
mistral_cot_true_simple_lora
170 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
CharlesLi's picture
CharlesLi
End of training
ad62db9 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.7 kB
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  • adapter_config.json
    737 Bytes
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  • adapter_model.safetensors
    168 MB
    xet
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  • all_results.json
    389 Bytes
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  • config.json
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  • eval_results.json
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  • special_tokens_map.json
    437 Bytes
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  • tokenizer.json
    1.8 MB
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  • tokenizer.model
    493 kB
    xet
    Training in progress, step 45 over 1 year ago
  • tokenizer_config.json
    1.52 kB
    Training in progress, step 45 over 1 year ago
  • train_results.json
    225 Bytes
    Model save over 1 year ago
  • trainer_state.json
    2.52 kB
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  • training_args.bin
    6.97 kB
    xet
    Training in progress, step 20 over 1 year ago