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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Llama 3.2 11B Vision/on RTX 5080 16GB

Can it run?

Can RTX 5080 16GB run Llama 3.2 11B Vision?

BGood

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

93.0 tok/s

TTFT

2082 ms

Safe context

16K

Memory

11.2 GB / 16.0 GB

Memory breakdown

Weights6.7 GB
KV Cache1.7 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingBRuns well93.0 tok/s3028 ms16K
ChatBRuns well93.0 tok/s1136 ms12K
CodingBRuns well93.0 tok/s2082 ms16K
RAGBRuns well93.0 tok/s3785 ms16K
ReasoningBRuns well93.0 tok/s2460 ms16K

Quantization options

How Llama 3.2 11B Vision (11B params) fits at each quantization level on RTX 5080 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
4.3 GB
LowD35
Q3_K_S
3
5.4 GB
LowD36
NVFP4
4
6.2 GB
MediumD38
Q4_K_M
4
6.7 GB
MediumD38
Q5_K_M
5
7.9 GB
HighD40
Q6_K
6
9.0 GB
HighC41
Q8_0Best for your GPU
8
11.8 GB
Very HighC44
F16
16
22.5 GB
MaximumF0

Get started

Ollama
ollama run llama-3.2-11b-vision
HuggingFace
huggingface-cli download llama-3.2-11b-vision
See all results for RTX 5080 16GBSee all hardware for Llama 3.2 11B Vision