# Qwen3-VL 4B: RAM and VRAM requirements

> Qwen3-VL 4B is a 4.44B Qwen3-VL model. At Q4_K_M it needs about **4.4 GB** to run and fits **43 of 43** tracked devices. Minimum to run: Nvidia GeForce RTX 2060 (6GB).

Catalog updated: 2026-10-05. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 3.11 GB | ~4.4 GB |
| Q8_0 | 4.77 GB | ~6.1 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Nvidia GeForce RTX 2060 (6GB)** (6 GB): Yes, but tight
- **Generic Android Phone (8GB RAM)** (8 GB): Yes, but tight
- **Samsung Galaxy S24 Ultra** (12 GB): Yes, it runs (room for Q8_0)
- **Nvidia GeForce RTX 4060 Ti (16GB)** (16 GB): Yes, it runs (room for FP16)
- **Apple M5 (16GB)** (16 GB): Yes, it runs (room for FP16)
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): Yes, it runs (room for FP16)
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs (room for FP16)
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs (room for FP16)

Full table of all 43 devices: https://localmodel.run/model/qwen3-vl-4b

## How to run
Quickest path: `ollama run qwen3-vl:4b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 4.44B
- Default context: 256k tokens
- License: Apache-2.0 (commercial use: yes)
- Released: 2025-10
- HuggingFace: 3,407,511 downloads/mo, 485 likes

## FAQ
### How much VRAM or RAM does Qwen3-VL 4B need?
About 4.4 GB at Q4_K_M (weights 3.11 GB + KV cache + overhead) at a 4k context. Budget ~6.1 GB for Q8_0.
### Can Qwen3-VL 4B run on a laptop?
Yes. Qwen3-VL 4B fits on a 16 GB laptop or Mac at Q4_K_M, and runs on Apple Silicon or a 12 GB+ GPU comfortably.
### Can I use Qwen3-VL 4B commercially?
Yes, Apache-2.0 permits commercial use.

Sources: https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct-GGUF, https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct, https://ollama.com/library/qwen3-vl:4b
More: https://localmodel.run/model/qwen3-vl-4b