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Serega6678
/
Test_with_new_script

PEFT
Safetensors
llava_mistral
alignment-handbook
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Serega6678/Test_with_new_script with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Serega6678/Test_with_new_script with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
    model = PeftModel.from_pretrained(base_model, "Serega6678/Test_with_new_script")
  • Notebooks
  • Google Colab
  • Kaggle
Test_with_new_script
86.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Serega6678's picture
Serega6678
End of training
e779ba2 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.6 kB
    End of training about 2 years ago
  • adapter_config.json
    655 Bytes
    Model save about 2 years ago
  • adapter_model.safetensors
    83.9 MB
    xet
    Model save about 2 years ago
  • added_tokens.json
    27 Bytes
    Training in progress, step 100 about 2 years ago
  • all_results.json
    355 Bytes
    Model save about 2 years ago
  • config.json
    648 Bytes
    End of training about 2 years ago
  • eval_results.json
    184 Bytes
    Model save about 2 years ago
  • special_tokens_map.json
    437 Bytes
    Training in progress, step 100 about 2 years ago
  • tokenizer.json
    1.8 MB
    Training in progress, step 100 about 2 years ago
  • tokenizer.model
    493 kB
    xet
    Training in progress, step 100 about 2 years ago
  • tokenizer_config.json
    1.57 kB
    Training in progress, step 100 about 2 years ago
  • train_results.json
    191 Bytes
    Model save about 2 years ago
  • trainer_state.json
    1.36 kB
    Model save about 2 years ago
  • training_args.bin
    4.86 kB
    xet
    Model save about 2 years ago