Qwen2.5-14B-Instruct
Alibaba CloudQwen2.5-14B-Instruct (14.7B dense, 48 layers, GQA, 128K context, 29+ languages), instruction-tuned general chat SKU; Qwen2.5 release Sep 2024.
Qwen2.5-14B-Instruct (14.7B dense, 48 layers, GQA, 128K context, 29+ languages), instruction-tuned general chat SKU; Qwen2.5 release Sep 2024. Verified 2026-08-13 via the HF model card.
Openness
3 high confidence- weights
- open(Apache-2.0, on HF)
- data
- closed
- code
- partial(inference/chat template
- license
- Apache-2.0(OSI permissive)
Apache-2.0 weights anyone can download, but the post-training data and the training code are closed, so this is open weights rather than open source.
- https://huggingface.co/Qwen/Qwen2.5-14B-Instruct recorded 2026-08-13
`license:apache-2.0` in the repo tags and `"gated":false` in the embedded repo state, so the 14.7B BF16 weights download without a barrier; the card carries a quickstart and chat template only, with no post-training pipeline or SFT/RLHF mixture
Adoption
4 high confidenceThe single declared SKU, the 14B-Instruct model, reads 3,137,049 Hugging Face downloads in the trailing 30 days, which lands in the 1M-10M band at level 4. It is one of the most-pulled mid-size instruct models in the widely used Qwen2.5 family.
- https://huggingface.co/Qwen/Qwen2.5-14B-Instruct recorded 2026-08-13
3,137,049 downloads in the trailing 30 days
Capability
3 medium confidenceCapable mid-size (14B) 2024 general chat model; strong-for-size but well below 2026 frontier and below larger Qwen2.5/3 SKUs. HF card does not inline MMLU/MMLU-Pro numbers; scored 3 on size/class with medium confidence.
- https://huggingface.co/Qwen/Qwen2.5-14B-Instruct recorded 2026-08-13
14B instruct general-chat model card, vendor capability claims; defers benchmarks to Qwen2.5 blog
Verified 2026-08-13