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NhatCuong22
/
Qwen3-8B-OpusReasoning

Text Generation
Safetensors
English
qwen3
reasoning
lora
unsloth
distillation
claude-opus
chain-of-thought
conversational
Model card Files Files and versions
xet
Community

Instructions to use NhatCuong22/Qwen3-8B-OpusReasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Inference
  • Local Apps Settings
  • Unsloth Studio

    How to use NhatCuong22/Qwen3-8B-OpusReasoning 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 NhatCuong22/Qwen3-8B-OpusReasoning 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 NhatCuong22/Qwen3-8B-OpusReasoning to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for NhatCuong22/Qwen3-8B-OpusReasoning to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="NhatCuong22/Qwen3-8B-OpusReasoning",
        max_seq_length=2048,
    )
Qwen3-8B-OpusReasoning
16.4 GB
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  • 1 contributor
History: 5 commits
NhatCuong22's picture
NhatCuong22
Add benchmark results (GSM8K, MMLU, ARC, HellaSwag)
0ef6f55 verified 4 months ago
  • .gitattributes
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  • README.md
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  • model.safetensors.index.json
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  • tokenizer.json
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  • tokenizer_config.json
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