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unsloth
/
MiMo-V2.5

Safetensors
English
Chinese
mimo_v2
multimodal
unsloth
vision-language
audio
agent
video-understanding
long-context
custom_code
fp8
Model card Files Files and versions
xet
Community
1

Instructions to use unsloth/MiMo-V2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps
  • Unsloth Studio new

    How to use unsloth/MiMo-V2.5 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/MiMo-V2.5 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/MiMo-V2.5 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for unsloth/MiMo-V2.5 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="unsloth/MiMo-V2.5",
        max_seq_length=2048,
    )
MiMo-V2.5 / audio_tokenizer
653 MB
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  • 1 contributor
History: 1 commit
danielhanchen's picture
danielhanchen
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44afb96 verified 3 days ago
  • chat_template.jinja
    5.59 kB
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  • config.json
    1.22 kB
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  • generation_config.json
    149 Bytes
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  • model.safetensors
    653 MB
    xet
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  • tokenizer_config.json
    6.06 kB
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