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

basilePlus
/
llama3-8b-schopenhauer

PEFT
Safetensors
English
trl
sft
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use basilePlus/llama3-8b-schopenhauer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use basilePlus/llama3-8b-schopenhauer with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "basilePlus/llama3-8b-schopenhauer")
  • Notebooks
  • Google Colab
  • Kaggle
llama3-8b-schopenhauer
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
basilePlus's picture
basilePlus
Update README.md
871d983 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.19 kB
    Update README.md about 2 years ago
  • adapter_config.json
    660 Bytes
    Model save about 2 years ago
  • adapter_model.safetensors
    109 MB
    xet
    Model save about 2 years ago
  • special_tokens_map.json
    337 Bytes
    Model save about 2 years ago
  • tokenizer.json
    9.09 MB
    Model save about 2 years ago
  • tokenizer_config.json
    51 kB
    Model save about 2 years ago
  • training_args.bin
    5.05 kB
    xet
    Model save about 2 years ago