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formapproval
/
Meta-Llama-3-8B-Instruct

Transformers
TensorBoard
Safetensors
Generated from Trainer
unsloth
trl
sft
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use formapproval/Meta-Llama-3-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use formapproval/Meta-Llama-3-8B-Instruct with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("formapproval/Meta-Llama-3-8B-Instruct", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use formapproval/Meta-Llama-3-8B-Instruct 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 formapproval/Meta-Llama-3-8B-Instruct 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 formapproval/Meta-Llama-3-8B-Instruct to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for formapproval/Meta-Llama-3-8B-Instruct to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="formapproval/Meta-Llama-3-8B-Instruct",
        max_seq_length=2048,
    )
Meta-Llama-3-8B-Instruct / runs
48.1 kB
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  • 1 contributor
History: 3 commits
formapproval's picture
formapproval
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