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terry69
/
downstream-7b

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

Instructions to use terry69/downstream-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use terry69/downstream-7b 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, "terry69/downstream-7b")
  • Notebooks
  • Google Colab
  • Kaggle
downstream-7b
1.56 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
terry69's picture
terry69
End of training
b9d8248 verified almost 2 years ago
  • runs
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.57 kB
    End of training almost 2 years ago
  • adapter_config.json
    726 Bytes
    Training in progress, epoch 0 almost 2 years ago
  • adapter_model.safetensors
    1.55 GB
    xet
    Training in progress, epoch 0 almost 2 years ago
  • all_results.json
    414 Bytes
    End of training almost 2 years ago
  • config.json
    719 Bytes
    End of training almost 2 years ago
  • eval_results.json
    201 Bytes
    End of training almost 2 years ago
  • special_tokens_map.json
    335 Bytes
    Training in progress, epoch 0 almost 2 years ago
  • tokenizer.json
    9.09 MB
    Training in progress, epoch 0 almost 2 years ago
  • tokenizer_config.json
    51 kB
    Training in progress, epoch 0 almost 2 years ago
  • train_results.json
    248 Bytes
    Model save almost 2 years ago
  • trainer_state.json
    34.3 kB
    Model save almost 2 years ago
  • training_args.bin
    6.46 kB
    xet
    Training in progress, epoch 0 almost 2 years ago