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khangmacon
/
cyllama3

PEFT
Safetensors
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use khangmacon/cyllama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use khangmacon/cyllama3 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, "khangmacon/cyllama3")
  • Notebooks
  • Google Colab
  • Kaggle
cyllama3 / pt_lora_model
2.45 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits

This model has 2 files scanned as unsafe.

khangmacon's picture
khangmacon
End of training
b665019 verified about 2 years ago
  • README.md
    5.11 kB
    Model save about 2 years ago
  • adapter_config.json
    767 Bytes
    End of training about 2 years ago
  • adapter_model.safetensors
    2.44 GB
    xet
    Model save about 2 years ago
  • special_tokens_map.json
    301 Bytes
    Model save about 2 years ago
  • tokenizer.json
    9.09 MB
    Model save about 2 years ago
  • tokenizer_config.json
    50.6 kB
    Model save about 2 years ago