LocalClaw/LLM/Qwen 2.5 VL (72B)
Open-weight local LLM

Qwen 2.5 VL (72B)

Qwen massive vision-language model. Exceptional image and video understanding at 72B scale. 72K context.

64 GB workstation 64 GB RAM Q4_K_M Vision tasks
Run with LocalClaw Compare all models
Parameters
72B
Minimum RAM
64 GB
Model size
42 GB
Quantization
Q4_K_M

Can Qwen 2.5 VL (72B) run locally?

Qwen 2.5 VL (72B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for qwen2.5-vl-72b-instruct in LM Studio or another GGUF-compatible runtime.

Qwen/Qwen2.5-VL-72B-Instruct-GGUF
visionquality

Install path

01
Check RAM fitMinimum 64 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch qwen2.5-vl-72b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Qwen massive vision-language model. Exceptional image and video understanding at 72B scale. 72K context.

Limitations

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

Best use cases

  • vision
  • quality

Capability profile

speed
2
quality
10
coding
7
reasoning
9

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.

Workstation fitMac Studio M4 Max 64GBCUDA workstation classNVIDIA GB10 / DGX SparkLarge local models64GB RAM guide

Where to go next