Image-Text-to-Video
GGUF
English
Chinese
text-to-video
image-to-video
video-generation
stable-diffusion.cpp
unsloth
minimax
multimodal
Instructions to use unsloth/MiniMax-H3-GGUF 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-GGUF 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-GGUF 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-GGUF 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-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/MiniMax-H3-GGUF", max_seq_length=2048, )
which base precision did you used in the quantization?
#3
by aamobp - opened
i just wanted to make sure which base precision did you used in quantization? is it was bf16 or similar precision, or is it was fp8?
There is the answer in the model card!
"The pre-quantized PyTorch checkpoints are in unsloth/MiniMax-H3-FP8."