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stacklok
/
CodeLlama-7b-hf

PEFT
TensorBoard
Safetensors
llama
trl
sft
unsloth
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use stacklok/CodeLlama-7b-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use stacklok/CodeLlama-7b-hf with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "stacklok/CodeLlama-7b-hf")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use stacklok/CodeLlama-7b-hf with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="stacklok/CodeLlama-7b-hf",
        max_seq_length=2048,
    )
CodeLlama-7b-hf / runs
192 kB
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  • 1 contributor
History: 1 commit
lukehinds's picture
lukehinds
Model save
43c0ea0 verified over 1 year ago
  • Oct11_16-27-09_18e880f38d3e
    Model save over 1 year ago
  • Oct11_18-20-44_18e880f38d3e
    Model save over 1 year ago