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Can the NVIDIA RTX 4080 Super run Llama 3.2 3B?

RTX 4080 Super × Llama 3.2 3B8K context
YesRuns fully on the GPU
Memory at FP168 GB of 16 GB
Weights 6.4 GBKV cache 0.9 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~69tokens per second
Max context76Ktokens that fit at FP16
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 4080 Super can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 16 GB available, at roughly 69 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 3B:

ollama run llama3.2:3b

Ollama's default download is Q4_K_M (about 3.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4080 Super

Run it in the cloud

No NVIDIA RTX 4080 Super? Run Llama 3.2 3B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4080 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality8 GBFits~69 tok/s
Q8_0Near-lossless5 GBFits~129 tok/s
Q6_KExcellent4.2 GBFits~168 tok/s
Q5_K_MVery good3.8 GBFits~193 tok/s
Q4_K_MGood, most popular3.5 GBFits~227 tok/s
Q3_K_MNoticeably degraded3.1 GBFits~281 tok/s
Q2_KHeavily degraded2.7 GBFits~367 tok/s

Measured speed from real RTX 4080 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4080 Super, next to our estimate.

No one has measured Llama 3.2 3B on the NVIDIA RTX 4080 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080 Super? Add your real speed

One command times Llama 3.2 3B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- llama3.2:3b

Windows (PowerShell)

$env:GPUFIT_MODEL="llama3.2:3b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Llama 3.2 3B comfortably

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run Llama 3.2 3B?

Yes. The NVIDIA RTX 4080 Super can run Llama 3.2 3B fully in VRAM at FP16 (full quality), using about 8 GB of the 16 GB available, at roughly 69 tokens/second.

How much VRAM does Llama 3.2 3B need?

About 3.5 GB at Q4_K_M with 8,192 tokens of context, and about 8 GB at full FP16 precision.

How fast is Llama 3.2 3B on the NVIDIA RTX 4080 Super?

Roughly 69 tokens per second at FP16, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.