Rent a GPU

Can the NVIDIA RTX 3080 10GB run DeepSeek R1 0528 Qwen3 8B?

RTX 3080 10GB × DeepSeek R1 0528 Qwen3 8B8K context
YesRuns fully on the GPU
Memory at Q6_K8.5 GB of 10 GB
Weights 6.7 GBKV cache 1.2 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~68tokens per second
Max context16Ktokens that fit at Q6_K
  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 3080 10GB can run DeepSeek R1 0528 Qwen3 8B fully in VRAM at Q6_K (excellent), using about 8.5 GB of the 10 GB available, at roughly 68 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 Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 3080 10GB

Run it in the cloud

No NVIDIA RTX 3080 10GB? 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 10 GB the NVIDIA RTX 3080 10GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality18.2 GBToo big—
Q8_0Near-lossless10.5 GBToo big—
Q6_KExcellent8.5 GBFits~68 tok/s
Q5_K_MVery good7.6 GBFits~78 tok/s
Q4_K_MGood, most popular6.8 GBFits~92 tok/s
Q3_K_MNoticeably degraded5.8 GBFits~114 tok/s
Q2_KHeavily degraded4.9 GBFits~148 tok/s

Measured speed from real RTX 3080 10GB owners

Tokens per second that people measured on their own NVIDIA RTX 3080 10GB, next to our estimate.

No one has measured DeepSeek R1 0528 Qwen3 8B on the NVIDIA RTX 3080 10GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3080 10GB? 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 3080 10GB

Frequently asked questions

Can NVIDIA RTX 3080 10GB run DeepSeek R1 0528 Qwen3 8B?

Yes. The NVIDIA RTX 3080 10GB can run DeepSeek R1 0528 Qwen3 8B fully in VRAM at Q6_K (excellent), using about 8.5 GB of the 10 GB available, at roughly 68 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 3080 10GB?

Roughly 68 tokens per second at Q6_K, estimated from the NVIDIA RTX 3080 10GB's 760 GB/s memory bandwidth.