Text Generation
Safetensors
English
multilingual
qwen3_5
qwen3.6
reasoning
distillation
claude-opus
lora
unsloth
fine-tuned
conversational
Instructions to use rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled 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 rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled 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 rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled", max_seq_length=2048, )

- Xet hash:
- 122cf0de8d954e767a7002695d416d7c06e7c483dc18dd2fa9f049ec10b778ed
- Size of remote file:
- 1.84 MB
- SHA256:
- cf9689466d8d00d0825e0dc9645887de2e7e2ab0f97de21515005b54fbf5f593
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.