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Qwen3-14B-Instruct-Exp

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by OpenPipe text-generation pytorch apache-2.0
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Model card

Qwen3-14B

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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.