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, )
My guide for deployment
See readme.md in https://github.com/KimRasak/Qwopus3.5-27B-v3-deployment
Kindly press "like" if you think it's useful.
Thx for this deployment recipe pointing out different tool parser needed
Thx for this deployment recipe pointing out different tool parser needed
Hi there, have you tried deploying the qwopus3.5-27b-v3 model using Docker with the vLLM image? Looking forward to your sharing.
Thx for this deployment recipe pointing out different tool parser needed
Hi there, have you tried deploying the qwopus3.5-27b-v3 model using Docker with the vLLM image? Looking forward to your sharing.
I posted https://www.reddit.com/r/Vllm/comments/1skks8n/qwen_35_27b35ba3b_tool_calling_issues_why_it/, it discuss all of my work on deployment so far and will help u in deployment as well.
If u need to deploy with docker, use the latest vllm image that installed transformers >=5 (it is also required by gamma 4). Recent vllm (v0.19.0) still restrict to use transformer 4.59 that wornt support partial RoPE implementation that qwen3.5 needs.
Thx for this deployment recipe pointing out different tool parser needed
Hi there, have you tried deploying the qwopus3.5-27b-v3 model using Docker with the vLLM image? Looking forward to your sharing.
you can seve it with image vllm/vllm-openai:gemma4 confirmed.