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
Browse files
README.md
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@@ -24,7 +24,7 @@ You can use this template for any Qwen3 model (only Qwen3-Coder has another temp
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Compatible with Qwen3, Qwen3.5 and Qwen3.6 in any OpenWeight size yet released!
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#### Update: V1.1.2 is out in the wild now!
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Additional fixes to tool calling have been done, verified correct developer role handling and other improvements. I would consider this a first stable
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# Welcome to the Template Rebuild Project
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@@ -35,7 +35,7 @@ At the moment there isnt any completly working chat template for the Qwen3.5 and
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Community patches were collected and patched together to made a single final version. But it still contained bugs.
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In the spirit of froggeric https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates/ I want to make this awesome model category useful for any case.
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So I did intense preresearch about the models nature, collected a huge list of commonly used ai-tools and which requests do they make to LLM-Endpoints.
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Compatible with Qwen3, Qwen3.5 and Qwen3.6 in any OpenWeight size yet released!
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#### Update: V1.1.2 is out in the wild now!
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Additional fixes to tool calling have been done, verified correct developer role handling and other improvements. I would consider this a first stable version.
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# Welcome to the Template Rebuild Project
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Community patches were collected and patched together to made a single final version. But it still contained bugs.
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In the spirit and effort of froggeric https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates/ I want to make this awesome model category useful for any case.
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So I did intense preresearch about the models nature, collected a huge list of commonly used ai-tools and which requests do they make to LLM-Endpoints.
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