Instructions to use StableQuant/Qwen-Templates-Rebuild-Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StableQuant/Qwen-Templates-Rebuild-Project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="StableQuant/Qwen-Templates-Rebuild-Project")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StableQuant/Qwen-Templates-Rebuild-Project", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use StableQuant/Qwen-Templates-Rebuild-Project with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "StableQuant/Qwen-Templates-Rebuild-Project" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "StableQuant/Qwen-Templates-Rebuild-Project", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/StableQuant/Qwen-Templates-Rebuild-Project
- SGLang
How to use StableQuant/Qwen-Templates-Rebuild-Project with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "StableQuant/Qwen-Templates-Rebuild-Project" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "StableQuant/Qwen-Templates-Rebuild-Project", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "StableQuant/Qwen-Templates-Rebuild-Project" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "StableQuant/Qwen-Templates-Rebuild-Project", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use StableQuant/Qwen-Templates-Rebuild-Project with Docker Model Runner:
docker model run hf.co/StableQuant/Qwen-Templates-Rebuild-Project
Update README.md
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README.md
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TL:DR Download your fixed and finally working Qwen3.5 and Qwen3.6 jinja chat-template here.
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# Welcome to the Template Rebuild Project
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- template-fix
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- bugfix
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TL:DR Download your fixed and finally working Qwen3.5 and Qwen3.6 jinja chat-template here. V1.1 with 2 new bug fixes and additional minor enhancements is now released.
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You can use this template for any Qwen3 model (only Qwen3-Code has another template format)
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Compatible with Qwen3, Qwen3.5, Qwen3.6 of any size yet released!
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#### Update: V1.1 is out in the wild now!
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17 common bugs from other templates and tool cases are fixed (for example JSON """ escapes, unicode character parsing, thinking tags messing up the context etc.), consult the writeup.md in v1.0 branch if interested in the details.
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Dev role fix, respecting thinking budget, thinking switch fix build in.
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# Welcome to the Template Rebuild Project
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