Llama 3.2 11B Vision Instruct

Availability

Deployment profile

Architecture

MllamaForConditionalGeneration

Licence

Llama 3.2 Community

Minimum VRAM

~26GB

Context

128K tokens

Recommended: L40S 48GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.

Model identity

Languages

en, de, fr, it, pt, hi, es, th

Updated

1 years ago

HuggingFace revision

9eb2daaa85

Popularity and trust

Files and formats

GPU deployment scenarios

Estimated from parameter count and quantisation. Will switch to “Verified by Badgr” once a real run backs a tier.

Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.

Also runs well on A100 80GB, H100 80GB. Available in United States, Europe, Asia Pacific.

Serving compatibility

Call this model through Badgr

curl https://api.aibadgr.com/v1/chat/completions \
  -H "Authorization: Bearer $BADGR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta-llama/Llama-3.2-11B-Vision-Instruct","messages":[{"role":"user","content":"Hello"}]}'

Estimated pricing

Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.

Recommended Badgr routes

Known limitations

• Memory use increases with context length and concurrency.