v2.2 · 2026-06-12

VISION / MULTIMODAL MODEL — RUNTIME REQUIREMENTS

·Ollama also lists cloud tags for 235B; local Q4_K_M GGUF is still about 142GB before runtime overhead.

Qwen3-VL 235B-A22B Instruct

qwen3-vl-235b-a22b-instruct

VISION-LANGUAGE

Qwen3-VL 235B-A22B Instruct is a 235B vision language model profile for local AI planning. This page records provider, license, context, quantization, hardware-fit estimates, setup hints, source links, and caveats so readers do not choose a model by name alone.

PROVIDER

Qwen / Alibaba Cloud

FAMILY

Qwen3-VL

MODEL TYPE

vision-language

PARAMETERS

235B (22B active)

MODALITIES

text input, image input, multi-image input, video input in supported runtimes, text output

ARCHITECTURE

Server-scale Mixture-of-Experts transformer VLM with 22B active parameters, Interleaved-MRoPE, DeepStack vision fusion, and text-timestamp video alignment.

CONTEXT WINDOW

262,144 tokens

TRAINING TOKENS

—

RELEASE DATE

2025-09-23

LICENSE & LINKS

Apache-2.0license text

MODEL CARD

huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct

HUGGING FACE

Qwen/Qwen3-VL-235B-A22B-Instruct

GGUF REPOSITORIES

Qwen/Qwen3-VL-235B-A22B-Instruct-GGUF official

Official GGUF repository referenced by the June 2026 model research.

SETUP HINTS

OLLAMA

ollama run qwen3-vl:235b

LLAMA.CPP

Use the cited GGUF repository (Qwen/Qwen3-VL-235B-A22B-Instruct-GGUF) with current llama.cpp-compatible tooling.

QUANTIZATION FILE SIZES (GGUF)

Q4_K_M

142 GB

Q8_0

250 GB

Quantization note: Q4_K_M for first local attempts unless a cited runtime recommends a different default.

HARDWARE FIT

CPU only (no GPU)

8 GB RAM

unknown

16 GB RAM

unknown

32 GB RAM

unknown

8 GB VRAM

unknown

12 GB VRAM

unknown

24 GB VRAM

unknown

Apple Silicon (unified memory)

unknown

Hardware fit values are conservative local-inference estimates based on GGUF size plus runtime and KV-cache overhead. Actual requirements depend on context length, quantization, runtime, GPU offload, and other running apps.

BEST FOR

·Server GPUs, cloud deployment, maximum visual reasoning, long documents, video, and demanding agent workflows production.

AVOID IF

·Avoid if you are a beginner, use consumer hardware, or expect simple local installation today.

CAVEATS

·Include as a server or cloud catalog entry, not as a beginner local recommendation.

·Ollama also lists cloud tags for 235B; local Q4_K_M GGUF is still about 142GB before runtime overhead.

·GGUF sizes are for Q4_K_M and Q8_0; a Q5 size was not found in the cited sources.

·Exact consumer RAM or VRAM minimum was not confirmed in cited sources, so RAM fields are null.

·Commercial-use status from the supplied research: Permitted under Apache-2.0 license, subject to license terms.

·Beginner summary from supplied research: Qwen3-VL 235B-A22B is a server-class flagship, not a normal local recommendation. It belongs in the catalog for labs, cloud users, and teams needing maximum Qwen3-VL quality over convenience, speed, or hardware simplicity in production deployments.

SOURCE URLS