Llama 3.2 11B Vision Instruct
Meta AI's Llama 3.2 11B Vision Instruct is a multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image, with capabilities including function calling, image understanding, and text generation. It is built on an optimized transformer architecture with a separately trained vision adapter that integrates with the pre-trained language model, and has a context window of 131,072 tokens.
Input
Output
Context
128K
Max Output
16K
Parameters
10.7B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Benchmarks
Resources & Links
Estimated GPU Requirements for Llama 3.2 11B Vision Instruct
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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