Rent a GPU

Can the NVIDIA RTX 4080 Super run DeepSeek R1 0528 Qwen3 8B?

RTX 4080 Super × DeepSeek R1 0528 Qwen3 8B8K context
YesRuns fully on the GPU
Memory at Q8_010.5 GB of 16 GB
Weights 8.7 GBKV cache 1.2 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~51tokens per second
Max context43Ktokens that fit at Q8_0
  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 DeepSeek R1 0528 Qwen3 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 16 GB available, at roughly 51 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts DeepSeek R1 0528 Qwen3 8B:

ollama run deepseek-r1:8b

Ollama's default download is Q4_K_M (about 6.8 GB here). You have room for Q8_0, which is near-lossless: 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 DeepSeek R1 0528 Qwen3 8B 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 quality18.2 GBToo big—
Q8_0Near-lossless10.5 GBFits~51 tok/s
Q6_KExcellent8.5 GBFits~66 tok/s
Q5_K_MVery good7.6 GBFits~76 tok/s
Q4_K_MGood, most popular6.8 GBFits~89 tok/s
Q3_K_MNoticeably degraded5.8 GBFits~110 tok/s
Q2_KHeavily degraded4.9 GBFits~144 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 DeepSeek R1 0528 Qwen3 8B 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 DeepSeek R1 0528 Qwen3 8B 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 -- deepseek-r1:8b

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-r1:8b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek R1 0528 Qwen3 8B comfortably

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run DeepSeek R1 0528 Qwen3 8B?

Yes. The NVIDIA RTX 4080 Super can run DeepSeek R1 0528 Qwen3 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 16 GB available, at roughly 51 tokens/second.

How much VRAM does DeepSeek R1 0528 Qwen3 8B need?

About 6.8 GB at Q4_K_M with 8,192 tokens of context, and about 18.2 GB at full FP16 precision.

How fast is DeepSeek R1 0528 Qwen3 8B on the NVIDIA RTX 4080 Super?

Roughly 51 tokens per second at Q8_0, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.