Llama 3.2 3B Instruct
The instruction-tuned three-billion-parameter Llama 3.2 checkpoint for multilingual edge assistants, tool calls, summarization, and local agentic applications.
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Why this model scores 49.6
Competitive small-model instruction following and tool use create meaningful edge agency, while downloadable weights and broad hardware support maximize distribution and reduce provider control.
News tied to Llama 3.2 3B Instruct
The model score of 49.6 rates this model's risk profile. The overall Doom Index of 67.9 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current 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 use a bounded temporal offset around their technical profile, but never feed back into the overall index.
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
- +0.19
- Llama 3.2 3B Instruct equal share
- +0.02
Model score history
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R3
Doom Score 49.6
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 49.8
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 50.5
New exact open Llama 3.2 instruction checkpoint verified by Meta's dated launch.
12 Aug 2026