Image-Text-to-Text
Safetensors
English
Chinese
Korean
unsloth
qwen
qwen3.5
reasoning
chain-of-thought
lora
competitive-programming
Instructions to use Jackrong/Qwopus3.5-27B-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use Jackrong/Qwopus3.5-27B-v3 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 Jackrong/Qwopus3.5-27B-v3 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 Jackrong/Qwopus3.5-27B-v3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Jackrong/Qwopus3.5-27B-v3 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Jackrong/Qwopus3.5-27B-v3", max_seq_length=2048, )
Qwen3.5-122B-A10B version?
#20
by Qnibbles - opened
Do you intend to make a version for Qwen3.5-122B-A10B? I think it could benefit greatly.
Thanks for the models!
Thanks! I’d definitely like to make a version for Qwen3.5-122B-A10B in the future — once I have access to more GPUs, I’ll give it a try.