Safetensors
English
Chinese
mimo_v2
multimodal
unsloth
vision-language
audio
agent
video-understanding
long-context
custom_code
fp8
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, )
Ctrl+K
- assets
- audio_tokenizer
- 1.78 kB
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- 1.19 GB xet
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- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 34.4 GB xet
- 3.49 GB xet
- 85.5 kB
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- 11.4 MB xet
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- 2.78 MB