Image-Text-to-Video
English
Chinese
fp8
int8
quantized
text-to-video
image-to-video
video-generation
unsloth
Instructions to use unsloth/MiniMax-H3-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use unsloth/MiniMax-H3-FP8 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/MiniMax-H3-FP8 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/MiniMax-H3-FP8 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/MiniMax-H3-FP8 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/MiniMax-H3-FP8", max_seq_length=2048, )
- Xet hash:
- 6869f693cf72421ab589b4d42da688ca17a9e7e8923b06d81250594fc30ad144
- Size of remote file:
- 20.3 GB
- SHA256:
- 67afaf41a71257f14f39dddb7297f90ed8b7913767728ef3a2c77cfe858d9ef9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.