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unsloth
/
Qwen3.8-27B-NVFP4

Safetensors
qwen3_5
unsloth
compressed-tensors
Model card Files Files and versions
xet
Community
16

Instructions to use unsloth/Qwen3.8-27B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps Settings
  • Unsloth Studio

    How to use unsloth/Qwen3.8-27B-NVFP4 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 unsloth/Qwen3.8-27B-NVFP4 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 unsloth/Qwen3.8-27B-NVFP4 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for unsloth/Qwen3.8-27B-NVFP4 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="unsloth/Qwen3.8-27B-NVFP4",
        max_seq_length=2048,
    )
Qwen3.8-27B-NVFP4
23.4 GB
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  • 1 contributor
History: 2 commits
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danielhanchen
Update README.md
7d6f8d4 verified about 11 hours ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
    9.99 kB
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  • config.json
    22.6 kB
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  • generation_config.json
    214 Bytes
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  • model.safetensors
    22.6 GB
    xet
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  • model.safetensors.index.json
    164 kB
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  • model_mtp.safetensors
    849 MB
    xet
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  • preprocessor_config.json
    390 Bytes
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
    1.05 kB
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  • video_preprocessor_config.json
    385 Bytes
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  • vocab.json
    6.72 MB
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