LocalClaw/LLM/Qwen 3 VL (8B)
Open-weight local LLM

Qwen 3 VL (8B)

Qwen 3 vision-language model. Strong OCR, document understanding, chart & UI reasoning. 128K context with native image+video inputs. Apache 2.0.

16 GB sweet spot 12 GB RAM Q4_K_M Vision tasks
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
12 GB
Model size
5.2 GB
Quantization
Q4_K_M

Can Qwen 3 VL (8B) run locally?

Qwen 3 VL (8B) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.

Search for qwen3-vl-8b-instruct in LM Studio or another GGUF-compatible runtime.

Qwen/Qwen3-VL-8B-Instruct-GGUF
visionchatmultimodalstandard

Install path

01
Check RAM fitMinimum 12 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch qwen3-vl-8b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Qwen 3 vision-language model. Strong OCR, document understanding, chart & UI reasoning. 128K context with native image+video inputs. Apache 2.0.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • vision
  • chat
  • multimodal
  • standard

Capability profile

speed
7
quality
8
coding
6
reasoning
8

Technical notes

Developer
qwen
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Starter desktopMac mini M4 16GBPortable fitMacBook Air M4 16GBBest 16GB models16GB RAM guide

Where to go next