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Llama 3.2 11B Vision
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47.0KDownloads1.6KLikesSep 2024Released16K tokensContextCommunityLicense36 BasicQuality
Llama 3.2 11B Vision (11B parameters) requires approximately 10.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 13 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Llama 3.2 11B Vision on your machine.
Run
ollama run llama3.2-vision:11bQuick specs
Parameters11B
Architecturevision
Context16K tokens
Modalitytext+vision
Min RAM4.3 GB
Rec. RAM6.7 GB (Q4_K_M)
LicenseCommunity
FamilyLlama Vision
✓ Vision✓ Chat
About this model
Your hardware
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.3 GB | Low | — |
Q3_K_S | 3 | 5.4 GB | Low | — |
NVFP4 | 4 | 6.2 GB | Medium | — |
Q4_K_M | 4 | 6.7 GB | Medium | — |
Q5_K_M | 5 | 7.9 GB | High | — |
Q6_K | 6 | 9.0 GB | High | — |
Q8_0 | 8 | 11.8 GB | Very High | — |
F16 | 16 | 22.5 GB | Maximum | — |
Quality benchmarks
Llama 3.2 11B Vision benchmark scores
Reasoning
MMLU-Pro—
GPQA Diamond32.8%
MATH-50051.9%
ARC Challenge—
Source: official · 2024-09-25
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights6.7 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Llama 3.2 11B Vision
See also