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LatestQwen · Alibaba3.6-27B
Qwen · AlibabaVision-Language

Alibaba's Qwen Releases Open 27B Vision Model

The new dense model, licensed under Apache 2.0, brings both text and image understanding to the midrange parameter space.

Apr 21, 2026
NotableApache 2.0
Qwen3.8-27B

Alibaba's Qwen team continues to expand its open-source offerings with the release of Qwen3.6-27B, a powerful new multimodal model. This dense, 27-billion-parameter model is designed to understand and process both text and images, making it a versatile foundation for a wide range of AI applications.

The model's 27B size places it in an interesting position within the open-source landscape. It offers a significant step up in capacity from the common 7B and 13B models without requiring the substantial hardware resources needed to run models in the 70B+ class. This makes it a compelling option for developers seeking a balance between high performance and operational efficiency.

A Permissive and Capable Model

A key feature of this release is its Apache 2.0 license, which permits broad commercial use and modification. This permissive approach encourages adoption and integration into commercial products, distinguishing it from models with more restrictive licenses. The Qwen team has positioned the model as a strong generalist for various vision-language tasks.

Developers can access the model weights and usage instructions directly from the official Hugging Face repository. As another strong entry in the Qwen series, this release further solidifies the team's commitment to providing capable, openly accessible AI models.

Sources

  • Qwen/Qwen3.6-27B

    Hugging Face

    Visit
  • unsloth/Qwen3.6-27B-MTP-GGUF

    Hugging Face

    Visit
OlderNVIDIA Releases Nemotron-3-Nano Omni-Modal MoENVIDIA · Any-to-Any · 6 months agoNewerSenseTime Releases 8B Any-to-Any Multimodal ModelSenseTime · Any-to-Any · 6 months ago

Get the model

Hugging FaceHugging Face

Specs

Parameters27B
Context window262K tokens
Size55.6 GB
PrecisionBF16
ArchitectureQwen3_5ForConditionalGeneration
LicenseAPACHE-2.0
Downloads4.6M
Likes3.1K

Can you run it?

Runs on a 24 GB GPU at 4-bit.

  • BF16 (as published)

    80 GB GPU (A100 / H100) · 128 GB Mac Studio

    58.7 GB
  • 8-bit

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    32.6 GB
  • 4-bit

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    19.8 GB
Your machine
GGUF builds
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Vision-LanguageText / LLM
10 versions — view changelog

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