Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

chansung
/
coding_llamaduo_60k

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_60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use chansung/coding_llamaduo_60k 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_60k")
  • Notebooks
  • Google Colab
  • Kaggle
coding_llamaduo_60k / runs
115 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
chansung's picture
chansung
End of training
290d519 verified about 2 years ago
  • Apr23_20-30-33_deep-diver-main-nice-sloth-1-0-0
    End of training about 2 years ago