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Can the NVIDIA RTX 2080 Ti run Qwen3.6 35B-A3B?

RTX 2080 Ti × Qwen3.6 35B-A3B8K context
NoDoes not fit in memory
Memory at Q4_K_M22.6 GB of 11 GB
Weights 21.8 GBKV cache 0.2 GBRuntime 0.6 GB
On the GPU47%of the Q4_K_M weights
In system RAM11.6 GBthe rest spills over
Offload speed~34tokens 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, Qwen3.6 35B-A3B 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 qwen3.6:35b

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 Qwen3.6 35B-A3B 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 quality72.8 GBToo big—
Q8_0Near-lossless39 GBToo big—
Q6_KExcellent30.3 GBToo big—
Q5_K_MVery good26.4 GBToo big—
Q4_K_MGood, most popular22.6 GBToo big—
Q3_K_MNoticeably degraded18.4 GBToo big—
Q2_KHeavily degraded14.3 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 Qwen3.6 35B-A3B 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 Qwen3.6 35B-A3B 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 -- qwen3.6:35b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3.6:35b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3.6 35B-A3B comfortably

Check RTX 3090 prices

Models that run well on the NVIDIA RTX 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run Qwen3.6 35B-A3B?

No. Even at Q4_K_M, Qwen3.6 35B-A3B 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 Qwen3.6 35B-A3B need?

About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 72.8 GB at full FP16 precision.

How fast is Qwen3.6 35B-A3B 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.