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GoYM
/
gemma-ft

PEFT
TensorBoard
Safetensors
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use GoYM/gemma-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use GoYM/gemma-ft with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-pt")
    model = PeftModel.from_pretrained(base_model, "GoYM/gemma-ft")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-ft
2.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
GoYM's picture
GoYM
Training in progress, step 5
a3e7db1 verified about 1 year ago
  • runs
    Training in progress, step 5 about 1 year ago
  • .gitattributes
    1.57 kB
    Training in progress, step 5 about 1 year ago
  • adapter_config.json
    882 Bytes
    Training in progress, step 5 about 1 year ago
  • adapter_model.safetensors
    2.84 GB
    xet
    Training in progress, step 5 about 1 year ago
  • added_tokens.json
    35 Bytes
    Training in progress, step 5 about 1 year ago
  • chat_template.json
    1.62 kB
    Training in progress, step 5 about 1 year ago
  • preprocessor_config.json
    570 Bytes
    Training in progress, step 5 about 1 year ago
  • processor_config.json
    70 Bytes
    Training in progress, step 5 about 1 year ago
  • special_tokens_map.json
    662 Bytes
    Training in progress, step 5 about 1 year ago
  • tokenizer.json
    33.4 MB
    xet
    Training in progress, step 5 about 1 year ago
  • tokenizer.model
    4.69 MB
    xet
    Training in progress, step 5 about 1 year ago
  • tokenizer_config.json
    1.16 MB
    Training in progress, step 5 about 1 year ago
  • training_args.bin
    5.62 kB
    xet
    Training in progress, step 5 about 1 year ago