Instructions to use StableQuant/Qwen-Templates-Rebuild-Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

StableQuant commited on 6 days ago

Commit

1a2421b

verified ·

1 Parent(s): 91db0b5

Update README.md

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README.md +6 -6

README.md CHANGED Viewed

@@ -25,22 +25,22 @@ OpenHands codes rock stable with v1.0 for me currently.
 Welcome to the Template Rebuild Project.
 How do we got here:
-Annoyed from various bugs with Qwen3.5 and Qwen 3.6 models I decided to test many different community variants of Qwen Templates, like probably many others out there.
 At the moment there isnt any completly working chat template for the Qwen3.5 and Qwen3.6 models.
-Community patches were patched together to made a single final version.
 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.
-So I did a intense preresearched about the models nature, collected a huge list of commonly used ai-tools and which requests do they make to LLM-Endpoint.
-All of this was then feed into a new, from the ground up new built version of a chat-template.
-I believe I did that groundwork, currently I didnt covered all off the over 90 common AI-tools but only like 30, I will continue to enhance the information pile and get 99% tool coverage.
 This will lead to a final version of the file that is useable for any usecase you can think of.
-Currently a first beta version is release as the initial v1.0
 In the next days I will create more specific and intense test cases and run them against the chat template.

 Welcome to the Template Rebuild Project.
 How do we got here:
+Annoyed from various bugs with Qwen3.5 and Qwen 3.6 models tool calling etc. I decided to test many different community variants of Qwen Templates, like probably many others out there.
 At the moment there isnt any completly working chat template for the Qwen3.5 and Qwen3.6 models.
+Community patches were collected and patched together to made a single final version. But it still contained bugs.
 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.
+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.
+All of this was then fed into a new, from the ground up built version of a chat-template.
+I believe I did that groundwork, currently I didnt covered all off the over 90 common AI-tools but only like 30, I will continue to enhance the information pile and get 99% tool coverage(100% is probably unnecessary and impossible, considering the fast evolving environment, also many tools use the same calling mechanisms).
 This will lead to a final version of the file that is useable for any usecase you can think of.
+Currently a first beta version is released as the initial v1.0
 In the next days I will create more specific and intense test cases and run them against the chat template.