Instructions to use froggeric/Qwen-Fixed-Chat-Templates with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use froggeric/Qwen-Fixed-Chat-Templates with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-Fixed-Chat-Templates froggeric/Qwen-Fixed-Chat-Templates
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
this template save my day.
I keep getting following error from some coding agent today, this template save my day:
⎿ API Error: 400 Unable to generate parser for this template. Automatic parser generation failed:
------------
While executing CallExpression at line 85, column 32 in source:
...first %}↵ {{- raise_exception('System message must be at the beginnin...
^
Error: Jinja Exception: System message must be at the beginning.
10.25.669.755 W srv operator(): got exception: {"error":{"code":400,"message":"Unable to generate parser for this template. Automatic parser generation failed: \n------------\nWhile executing CallExpression at line 85, column 32 in source:\n...first %}↵ {{- raise_exception('System message must be at the beginnin...\n ^\nError: Jinja Exception: System message must be at the beginning.","type":"invalid_request_error"}}
Thanks for the feedback! Really glad it fixed the system message ordering issue for your setup. I'll close this thread out.