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

89fa185

verified ·

1 Parent(s): b871de1

Update README.md

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@@ -1,3 +1,37 @@
 ---
 license: apache-2.0
 base_model:

+Update: You can download v1.0 now.
+16 common Bugs from other templates and tool cases are fixed (for example JSON """ escapes, unicode character parsing etc.)
+Dev role fix etc. will be pushed soon to in a v1.1, prework is almost done.
+OpenHands codes rock stable with v1.0 for me
+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.
+Please feel free to report any bug you encounter with the template, it will be looked in manually from me and be analyzed intensly.
+Have fun!
 ---
 license: apache-2.0
 base_model: