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 1 day ago

Commit

3a62e44

verified ·

1 Parent(s): aaa9805

Update README.md

Browse files

Files changed (1) hide show

README.md +5 -3

README.md CHANGED Viewed

@@ -15,7 +15,7 @@ tags:
 - template-fix
 - 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.
@@ -32,7 +32,8 @@ If using OpenCode do notice they have an open bug for showing thinking content a
 #### 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
@@ -43,7 +44,8 @@ At the moment there isnt any completly working chat template for the Qwen3.5 and
 Community patches were collected and patched together to made a single final version. But it still contained bugs.
-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.
 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.

 - template-fix
 - bugfix
 ---
+### 23.05 22:00: v1.1.5 is released. Agentic and Tool use works 100% for hours now. 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.
 #### Preserve Thinking:
 To enable preserve-thinking (Agent can remember what he thought about in older turns) pass the following parameter to llama.cpp startup:
+On Linux: --chat-template-kwargs '{"preserve_thinking": true}'
+On Windows: --chat-template-kwargs "{\"preserve_thinking\": true}"
 # Welcome to the Template Rebuild Project
 Community patches were collected and patched together to made a single final version. But it still contained bugs.
+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.
 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.