Meta · Llama 3.2

Llama 3.2 1B Instruct

READER SUMMARY

The instruction-tuned one-billion-parameter Llama 3.2 checkpoint for on-device summarization, rewriting, tool use, and private local assistants.

DOOM SCORE42.7out of 100model risk profile, not the overall index
CURRENT ASSESSMENT · REVISION 1

Why this model scores 42.7

Instruction following and tool-use support raise practical agency above the base model, while tiny size and downloadable weights enable maximal distribution and limit central post-release control.

Capability31
Autonomy9
Deployment100
Misuse potential34
Control difficulty52
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MODEL-ATTRIBUTED EVIDENCE

News tied to Llama 3.2 1B Instruct

The model score of 42.7 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 1B Instruct equal share
+0.00
Read assessment →
AUDIT TRAIL

Model score history

  1. R1
    Doom Score 42.7

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

    12 Aug 2026