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chansung
/
coding_llamaduo_result1

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use chansung/coding_llamaduo_result1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use chansung/coding_llamaduo_result1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b")
    model = PeftModel.from_pretrained(base_model, "chansung/coding_llamaduo_result1")
  • Notebooks
  • Google Colab
  • Kaggle
coding_llamaduo_result1
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
chansung's picture
chansung
End of training
76c4276 verified about 2 years ago
  • runs
    End of training about 2 years ago
  • .gitattributes
    1.57 kB
    Training in progress, step 100 about 2 years ago
  • README.md
    1.78 kB
    End of training about 2 years ago
  • adapter_config.json
    645 Bytes
    Training in progress, step 100 about 2 years ago
  • adapter_model.safetensors
    100 MB
    xet
    Model save about 2 years ago
  • all_results.json
    355 Bytes
    End of training about 2 years ago
  • config.json
    1.17 kB
    End of training about 2 years ago
  • eval_results.json
    183 Bytes
    End of training about 2 years ago
  • special_tokens_map.json
    630 Bytes
    Training in progress, step 100 about 2 years ago
  • tokenizer.json
    17.5 MB
    xet
    Training in progress, step 100 about 2 years ago
  • tokenizer_config.json
    1.89 kB
    Training in progress, step 100 about 2 years ago
  • train_results.json
    193 Bytes
    Model save about 2 years ago
  • trainer_state.json
    7.2 kB
    Model save about 2 years ago
  • training_args.bin
    5.11 kB
    xet
    Training in progress, step 100 about 2 years ago