Meta · Llama 3.2

Llama 3.2 11B Vision Instruct

READER SUMMARY

The aligned 11-billion-parameter Llama 3.2 vision model for instruction-following image analysis, visual assistants, documents, charts, and local multimodal applications.

DOOM SCORE59.7out of 100model risk profile, not the overall index
CURRENT ASSESSMENT · REVISION 1

Why this model scores 59.7

Instruction-following vision capability and downloadable deployment create strong practical multimodal agency and misuse exposure, with limited provider control after local distribution.

Capability59
Autonomy24
Deployment98
Misuse potential58
Control difficulty66
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MODEL-ATTRIBUTED EVIDENCE

News tied to Llama 3.2 11B Vision Instruct

The model score of 59.7 rates this model's risk profile. The overall Doom Index of 63.2 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.00

Each article's leave-one-out Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores are recalculated from their technical profile and related news, but never feed back into the overall index.

CapabilityTOWARD

Meta releases Llama 3.2 vision and edge models

Meta released eight Llama 3.2 checkpoints spanning 1B and 3B text models for on-device tool use and 11B and 90B vision models, with downloadable weights and immediate cloud, device, and local ecosystem support.

Full item contribution
+0.03
Llama 3.2 11B Vision Instruct equal share
+0.00
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AUDIT TRAIL

Model score history

  1. R1
    Doom Score 59.7

    New exact open Llama 3.2 vision instruction checkpoint verified by Meta's dated launch.

    12 Aug 2026