Instructions to use unsloth/Qwen3.6-27B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use unsloth/Qwen3.6-27B-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/Qwen3.6-27B-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/Qwen3.6-27B-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/Qwen3.6-27B-NVFP4 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/Qwen3.6-27B-NVFP4", max_seq_length=2048, )
| default_stage: | |
| default_modifiers: | |
| QuantizationModifier: | |
| targets: [Linear] | |
| ignore: [lm_head, 're:^mtp\..*', 're:^model\.visual\..*', 're:.*linear_attn\.in_proj_qkv$', | |
| 're:.*linear_attn\.in_proj_z$', 're:.*linear_attn\.in_proj_a$', 're:.*linear_attn\.in_proj_b$'] | |
| scheme: NVFP4 | |
| bypass_divisibility_checks: false | |