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Can the NVIDIA RTX 2080 Ti run Llama 3.2 1B?

RTX 2080 Ti × Llama 3.2 1B8K context
YesRuns fully on the GPU
Memory at FP163.3 GB of 11 GB
Weights 2.5 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~149tokens per second
Max context128Kthe model's full window
  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 2080 Ti can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 11 GB available, at roughly 149 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 1B:

ollama run llama3.2:1b

Ollama's default download is Q4_K_M (about 1.6 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 2080 Ti

Run it in the cloud

No NVIDIA RTX 2080 Ti? Run Llama 3.2 1B in the cloud.

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

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 11 GB the NVIDIA RTX 2080 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~149 tok/s
Q8_0Near-lossless2.2 GBFits~281 tok/s
Q6_KExcellent1.9 GBFits~363 tok/s
Q5_K_MVery good1.8 GBFits~419 tok/s
Q4_K_MGood, most popular1.6 GBFits~492 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~610 tok/s
Q2_KHeavily degraded1.3 GBFits~795 tok/s

Measured speed from real RTX 2080 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 2080 Ti, next to our estimate.

No one has measured Llama 3.2 1B on the NVIDIA RTX 2080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 2080 Ti? Add your real speed

One command times Llama 3.2 1B 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 -- llama3.2:1b

Windows (PowerShell)

$env:GPUFIT_MODEL="llama3.2:1b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Llama 3.2 1B comfortably

Models that run well on the NVIDIA RTX 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run Llama 3.2 1B?

Yes. The NVIDIA RTX 2080 Ti can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 11 GB available, at roughly 149 tokens/second.

How much VRAM does Llama 3.2 1B need?

About 1.6 GB at Q4_K_M with 8,192 tokens of context, and about 3.3 GB at full FP16 precision.

How fast is Llama 3.2 1B on the NVIDIA RTX 2080 Ti?

Roughly 149 tokens per second at FP16, estimated from the NVIDIA RTX 2080 Ti's 616 GB/s memory bandwidth.