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
- Atomic Chat
This doesn't seem to work with this Qwen 3.6 model...
#67
by BTGbullseye - opened
I'm using https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF for creative writing, and this template just causes the model to not load at all. I'm pretty new with LLMs, what might be causing this?
A chat template only formats prompt text during inference and cannot prevent a model from loading into memory. If the model fails to load at startup, it is usually due to one of two things:
- The path passed to --chat-template-file is incorrect or unreadable.
- The specific GGUF you downloaded is an MTP (Multi-Token Prediction) variant. MTP models require recent llama.cpp builds and specific draft speculation flags (--spec-type draft-mtp). If your build does not support MTP, load the standard non-MTP GGUF instead.
For creative writing where tool calling is not involved, loading the standard GGUF with --jinja --chat-template-file chat_template.jinja will work cleanly.
froggeric changed discussion status to closed