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pr4nav101
/
Llama-3.1-8B-4bit-bnb-Math-Finetuned

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

Instructions to use pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned 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 pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned 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 pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="pr4nav101/Llama-3.1-8B-4bit-bnb-Math-Finetuned",
        max_seq_length=2048,
    )
Llama-3.1-8B-4bit-bnb-Math-Finetuned
353 MB
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  • 1 contributor
History: 4 commits
pr4nav101's picture
pr4nav101
Update README.md
fe7816e verified over 1 year ago
  • runs
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • .gitattributes
    1.57 kB
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • README.md
    1.98 kB
    Update README.md over 1 year ago
  • adapter_config.json
    814 Bytes
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • adapter_model.safetensors
    336 MB
    xet
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • special_tokens_map.json
    454 Bytes
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • tokenizer.json
    17.2 MB
    xet
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • tokenizer_config.json
    55.5 kB
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago
  • training_args.bin

    Detected Pickle imports (10)

    • "transformers.trainer_utils.IntervalStrategy",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.SaveStrategy",
    • "transformers.training_args.OptimizerNames",
    • "trl.trainer.sft_config.SFTConfig",
    • "accelerate.state.PartialState",
    • "torch.device",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    5.56 kB
    xet
    pr4nav101/math-coding-sme-llama-3-8b-Instruct-bnb-4bitv2 over 1 year ago