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 2 days ago

Commit

224652f

verified ·

1 Parent(s): a630b49

Update README.md

Browse files

Files changed (1) hide show

README.md +7 -2

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ tags:
 - bugfix
 ---
 ### 23.05 22:00: v1.1.5 is released. Agentic and Tool use works 100%. Try it out!
-### If you use mainly agentic coding you can also test the "adiditional-systemprompt" variant out. It adds minimalistic Systempromt Enhancements to 1.1.5 that should work in every environment and actively enhancing correct coding creation and behaviour.
 TL:DR Download your fixed and finally working Qwen3.5 and Qwen3.6 jinja chat-template here. V1.1.2 with new tool call error bug fixes and additional edge case enhancements is now released.
@@ -27,9 +27,14 @@ Compatible with Qwen3, Qwen3.5 and Qwen3.6 in any OpenWeight size yet released!
 Additional fixes to tool calling have been done, verified correct developer role handling and other improvements. I would consider this a first stable version.
 #### OpenCode:
-If using OpenCode do notice they have an open bug for showing thinking content as plain text. You can look it up on Github. Its open since 4 months. Meanwhile you can use the llama.cpp Server switch to hide thinking completely(but still let the model think) using the additonal parameter:
 --reasoning-format deepseek
 # Welcome to the Template Rebuild Project
 How do we got here:

 - bugfix
 ---
 ### 23.05 22:00: v1.1.5 is released. Agentic and Tool use works 100%. Try it out!
+### If you use mainly agentic coding you can also test the "additional-systemprompt" variant out. It adds minimalistic Systempromt Enhancements to 1.1.5 that should work in every environment and actively enhancing correct coding creation and behaviour.
 TL:DR Download your fixed and finally working Qwen3.5 and Qwen3.6 jinja chat-template here. V1.1.2 with new tool call error bug fixes and additional edge case enhancements is now released.
 Additional fixes to tool calling have been done, verified correct developer role handling and other improvements. I would consider this a first stable version.
 #### OpenCode:
+If using OpenCode do notice they have an open bug for showing thinking content as plain text. You can look it up on Github. Its open since 4 months. Meanwhile you can use the llama.cpp Server switch to hide thinking completely(but still let the model think) using the additonal llama.cpp parameter:
 --reasoning-format deepseek
+#### Preserve Thinking:
+To enable preserve-thinking (Agent can remember what he thought about in older turns) pass the following parameter to llama.cpp startup:
+--chat-template-kwargs '{"preserve_thinking": true}'
 # Welcome to the Template Rebuild Project
 How do we got here: