4 models

Best Qwen Models to Run Locally

Alibaba's Qwen line includes one of the most-downloaded mid-size models of 2026 and a dedicated coding variant, all under the permissive Apache 2.0 license.

LightMost popular

Qwen3 8B

Alibaba · Apache 2.0

One of the most-downloaded mid-size AI models on HuggingFace in 2026, with tens of millions of downloads. Qwen3 8B outperforms the previous Qwen2.5 14B on most benchmarks, supports hybrid thinking mode and tool calling, and runs on any GPU with 6 GB VRAM. Apache 2.0 license — fully commercial.

Min VRAM

5 GB

Context

128K

codingchatreasoningtool use

Run with Ollama

ollama run qwen3:8b
HeavyVision capable

Qwen3.8-27B

Alibaba · Apache 2.0

Alibaba's newest Qwen release, published August 14, 2026 under Apache 2.0. A 27B dense model that adds native image and video understanding on top of text, with a 256K context window long enough for hour-scale video or entire codebases. At Q4 it needs about 18 GB of VRAM, so it fits a single 24 GB card with room to spare. Pull it with ollama run qwen3.8:27b.

Min VRAM

18 GB

Context

256K

codingchatanalysislong documents

Run with Ollama

ollama run qwen3.8:27b
Light

Qwen 2.5 Coder 7B

Alibaba · Apache 2.0

A coding-specialist model fine-tuned on a massive corpus of source code across 40+ programming languages, delivering autocomplete and generation quality that rivals dedicated IDE tools. At 7B it is fast enough for real-time code suggestions on a single consumer GPU.

Min VRAM

4 GB

Context

128K

codingcode completiondebugging

Run with Ollama

ollama run qwen2.5-coder:7b
StandardFully commercial

Qwen3-TTS 1.7B CustomVoice

Alibaba · Apache 2.0

Alibaba's Qwen3-TTS with 9 premium preset voices and instruction-based control over tone, emotion and prosody across 10 major languages. Streaming generation gets end-to-end latency as low as 97ms. Apache 2.0 licensed — fully free for commercial use, unlike most other speech models on this page.

Min VRAM

Not published — FlashAttention recommended to reduce memory use

Speed

End-to-end synthesis latency as low as 97ms (streaming)

custom voicevoice cloningmultilingual speech

Install & run

pip install -U qwen-tts

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