Qwen3-14B
Qwen3-14B-Instruct Highlights
OpenPipe/Qwen3-14B-Instruct is a finetune friendly instruct variant of Qwen3-14B. Qwen3 release does not include a 14B Instruct (non-thinking) model, this fork introduces an updated chat template that makes Qwen3-14B non-thinking by default and be highly compatible with OpenPipe and other finetuning frameworks.
The default Qwen3 chat template does not render <think></think> tags on the previous assistant message, which can lead to inconsistencies between training and generation. This version resolves that issue by adding <think></think> tags to all assistant prompts and generation templates to ensure message format consistency during both training and inference.
The model retains the strong general capabilities of Qwen3-14B while providing a more finetuning friendly chat template.
Model Overview
Qwen3-14B has the following features:
- Type: Causal Language Models
- Training Stage: Pretraining & Post-training
- Number of Parameters: 14.8B
- Number of Paramaters (Non-Embedding): 13.2B
- Number of Layers: 40
- Number of Attention Heads (GQA): 40 for Q and 8 for KV
- Context Length: 32,768 natively and 131,072 tokens with YaRN.
For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our blog, GitHub, and Documentation.