Llama 3.2 arrives on Ollama with smaller and multimodal variants

Llama 3.2 via Ollama includes ultra-light and multimodal model sizes explicitly targeted at mobile/edge (1B/3B) and vision-capable 11B/90B variants, enabling local multimodal agents and privacy‑centric apps.

In this brief: 3 sections 1 min read

- Ultra-light 1B and 3B variants aimed at mobile and small devices.
- Multimodal-capable 11B and 90B variants for on‑device vision and richer inputs.
- Ollama installation and run instructions are referenced as the path to start using these weights locally.
- Developers can build local vision+text agents without external inference calls.
- Local execution improves privacy, removes network latency, and lowers per‑query cloud costs.
- Teams must validate hardware requirements and confirm license/usage terms for these weights.
- Performance and capability vary by model size and device capability.
- Ollama-hosted instructions simplify running models but do not alter license obligations from Meta.
- Users should confirm whether any features or safety filters differ from Meta-hosted deployments.

Read full analysis on imago.com.ar

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