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.