LocalClaw/LLM/Granite 3.2 Vision (2B)
Open-weight local LLM

Granite 3.2 Vision (2B)

Use case: Vision tasks. Check the memory fit and choose a setup path below.

4 GB catalogue minimum4 GB RAMQ5_K_MVision tasks
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Open in LM StudioOpens the app on this model's download screenOpen in UnslothLaunches Unsloth Desktop on this model's download page
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Parameters
2B
Minimum RAM
4 GB
Model size
1.4 GB
Quantization
Q5_K_M

About Granite 3.2 Vision (2B)

Catalogue summary: IBM vision model for document extraction. Tiny but effective at understanding documents. 365K downloads.

Granite 3.2 Vision (2B) has a catalogue minimum of 4 GB RAM with Q5_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use granite-3.2-2b-vision as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-11-06): bartowski/ibm-granite_granite-vision-3.2-2b-GGUF
visionlightspeed

Install path

01
Check RAM fitMinimum 4 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch granite-3.2-2b-vision in LM Studio.
03
Try your workloadStart with a short prompt, check memory use and adjust context length before running longer tasks.

Catalogue record

  • Family: granite
  • Parameters: 2B
  • Recommended quantization: Q5_K_M
  • Catalogue minimum RAM: 4 GB
  • Catalogue model size: 1.4 GB
  • Tags: vision, light, speed

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
10
quality
5
coding
3
reasoning
5

Technical notes

Developer
See upstream repository
License
See upstream repository
Context window
See upstream repository
Architecture
See upstream repository

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.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Granite 3.3 (2B Instruct) 2BGranite 4.1 (3B) 3BGranite 4.2 (3B) 3BGranite 3.3 (8B Instruct) 8BGranite 4.1 (8B) 8BGranite 4.2 (8B) 8.8BGranite 4.2 (30B) 29.3BMinistral 3 3B Instruct 3B

Where to go next