7B open-weight model (32-layer DiT) that unifies text-to-image generation up to 2048x2048, editing with up to 10 reference images, and native RGBA transparency. Designed to run locally on 16GB+ VRAM; supported by diffusers and ComfyUI.
Qwen2.5 14B
Released on Sep 19, 2024
Clear step up in reasoning and instruction quality over 8B models. Excellent for coding, agents and structured writing on 16GB GPUs or Macs with 32GB RAM.
Features
- 14.8B params
- Coding & agents
- 32K context
- Native GGUF
Version history
- Qwen3.8-MaxLatest
Flagship Max da 2,4 trilioni di parametri con ~95B attivi, contesto da 1M token e primo modello Max aperto dei pesi, oltre al Qwen3.8-27B Apache 2.0.
- Qwen3.5
Flagship Qwen3.5-397B-A17B basata su MoE sparsa con attenzione lineare (Gated DeltaNet), multimodalità nativa e 201 lingue.
- Qwen3
Generazione successiva con modalità ibride di ragionamento (thinking e non-thinking), pretraining raddoppiato a ~36 trilioni di token e 8 taglie open-weight.
- Qwen2.5 14B
Rilasciata insieme alla famiglia Qwen2.5 con taglie da 0,5B a 72B, contesto fino a 128K token e licenza Apache 2.0.
Tags
Useful links
Discover Qwen2.5 14B
Visit the official site to download, learn more and start using Qwen2.5 14B.
Related resources — Models
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Near-70B quality at a fraction of the size: the sweet spot for advanced use. Excellent in Italian, code and reasoning. Needs 24GB+ VRAM.

