LocalClaw/LLM/Llama 3.2 Vision (11B)
Open-weight local LLM

Llama 3.2 Vision (11B)

Meta's vision-enabled Llama. Image reasoning + text generation. 2.6M downloads.

16 GB sweet spot 12 GB RAM Q4_K_M Image description
Run with LocalClaw Compare all models
Parameters
11B
Minimum RAM
12 GB
Model size
6.5 GB
Quantization
Q4_K_M

Can Llama 3.2 Vision (11B) run locally?

Llama 3.2 Vision (11B) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.

Search for llama-3.2-11b-vision-instruct in LM Studio or another GGUF-compatible runtime.

lmstudio-community/Llama-3.2-11B-Vision-Instruct-GGUF
visionstandard

Install path

01
Check RAM fitMinimum 12 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llama-3.2-11b-vision-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Native vision understanding
  • 128K context
  • 2.6M downloads
  • Image reasoning + text generation

Limitations

  • Needs 12GB RAM
  • Vision is basic vs specialized models
  • Llama license restrictions

Best use cases

  • Image description
  • Visual Q&A
  • Document understanding
  • Multimodal chat

Capability profile

speed
6
quality
7
coding
5
reasoning
7

Technical notes

Developer
Meta AI
License
Llama 3.2 Community License
Context window
131,072 tokens
Architecture
Multimodal Transformer (vision + language)

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

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Where to go next