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dahaludba
/
QSolver_Decoder_V16

Text Generation
PEFT
Safetensors
unsloth
lora
qwen
multiple-choice
question-answering
Model card Files Files and versions
xet
Community

Instructions to use dahaludba/QSolver_Decoder_V16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use dahaludba/QSolver_Decoder_V16 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use dahaludba/QSolver_Decoder_V16 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 dahaludba/QSolver_Decoder_V16 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 dahaludba/QSolver_Decoder_V16 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for dahaludba/QSolver_Decoder_V16 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="dahaludba/QSolver_Decoder_V16",
        max_seq_length=2048,
    )
QSolver_Decoder_V16
5.4 GB
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  • 1 contributor
History: 7 commits
dahaludba's picture
dahaludba
Create README.md
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