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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

forestai
/
fireact_codellama_34b_lora

Text Generation
PEFT
PyTorch
English
facebook
meta
llama
llama-2
Model card Files Files and versions
xet
Community

Instructions to use forestai/fireact_codellama_34b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use forestai/fireact_codellama_34b_lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/home/shunyuy/models/CodeLlama-34b-Instruct-hf")
    model = PeftModel.from_pretrained(base_model, "forestai/fireact_codellama_34b_lora")
  • Notebooks
  • Google Colab
  • Kaggle
fireact_codellama_34b_lora / checkpoint-200
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Ciaranshu's picture
Ciaranshu
init
a33a630 about 3 years ago
  • README.md
    469 Bytes
    init about 3 years ago
  • adapter_config.json
    468 Bytes
    init about 3 years ago
  • adapter_model.bin
    39.4 MB
    xet
    init about 3 years ago
  • optimizer.pt
    78.8 MB
    xet
    init about 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    init about 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    init about 3 years ago
  • trainer_state.json
    3.06 kB
    init about 3 years ago
  • training_args.bin
    4.09 kB
    xet
    init about 3 years ago