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Can the NVIDIA RTX 2080 Ti run QwQ 32B?

RTX 2080 Ti × QwQ 32B8K context
NoDoes not fit in memory
Memory at Q4_K_M22.6 GB of 11 GB
Weights 19.9 GBKV cache 2.1 GBRuntime 0.6 GB
On the GPU42%of the Q4_K_M weights
In system RAM11.6 GBthe rest spills over
Offload speed~2.9tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, QwQ 32B needs about 22.6 GB, but the NVIDIA RTX 2080 Ti has 11 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run qwq:32b

At Q4_K_M it needs about 22.6 GB, so pick a GPU with at least 24 GB.

New to this? Step-by-step setup for the RTX 2080 Ti

Run it in the cloud

Too big for the NVIDIA RTX 2080 Ti? Run QwQ 32B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

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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 quality68.3 GBToo big—
Q8_0Near-lossless37.6 GBToo big—
Q6_KExcellent29.6 GBToo big—
Q5_K_MVery good26.1 GBToo big—
Q4_K_MGood, most popular22.6 GBToo big—
Q3_K_MNoticeably degraded18.8 GBToo big—
Q2_KHeavily degraded15 GBToo big—

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 QwQ 32B 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 QwQ 32B 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 -- qwq:32b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwq:32b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run QwQ 32B comfortably

Check RTX 3090 prices

Models that run well on the NVIDIA RTX 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run QwQ 32B?

No. Even at Q4_K_M, QwQ 32B needs about 22.6 GB, but the NVIDIA RTX 2080 Ti has 11 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does QwQ 32B need?

About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 68.3 GB at full FP16 precision.

How fast is QwQ 32B on the NVIDIA RTX 2080 Ti?

It does not fit in the NVIDIA RTX 2080 Ti's memory, so most layers would run from system RAM and generation would be very slow.