Rent a GPU

Can the NVIDIA RTX 5080 run DeepSeek R1 Distill Qwen 7B?

RTX 5080 × DeepSeek R1 Distill Qwen 7B8K context
YesRuns fully on the GPU
Memory at Q8_09.2 GB of 16 GB
Weights 8.1 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~71tokens per second
Max context124Ktokens 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 5080 can run DeepSeek R1 Distill Qwen 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 16 GB available, at roughly 71 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts DeepSeek R1 Distill Qwen 7B:

ollama run deepseek-r1:7b

Ollama's default download is Q4_K_M (about 5.7 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 5080

Run it in the cloud

No NVIDIA RTX 5080? Run DeepSeek R1 Distill Qwen 7B 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 5080 can use.

QuantQualityMemoryFits?Speed
FP16Full quality16.3 GBToo big—
Q8_0Near-lossless9.2 GBFits~71 tok/s
Q6_KExcellent7.3 GBFits~92 tok/s
Q5_K_MVery good6.5 GBFits~106 tok/s
Q4_K_MGood, most popular5.7 GBFits~125 tok/s
Q3_K_MNoticeably degraded4.8 GBFits~155 tok/s
Q2_KHeavily degraded3.9 GBFits~202 tok/s

Measured speed from real RTX 5080 owners

Tokens per second that people measured on their own NVIDIA RTX 5080, next to our estimate.

No one has measured DeepSeek R1 Distill Qwen 7B on the NVIDIA RTX 5080 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5080? Add your real speed

One command times DeepSeek R1 Distill Qwen 7B 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-r1:7b

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-r1:7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek R1 Distill Qwen 7B comfortably

Models that run well on the NVIDIA RTX 5080

Frequently asked questions

Can NVIDIA RTX 5080 run DeepSeek R1 Distill Qwen 7B?

Yes. The NVIDIA RTX 5080 can run DeepSeek R1 Distill Qwen 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 16 GB available, at roughly 71 tokens/second.

How much VRAM does DeepSeek R1 Distill Qwen 7B need?

About 5.7 GB at Q4_K_M with 8,192 tokens of context, and about 16.3 GB at full FP16 precision.

How fast is DeepSeek R1 Distill Qwen 7B on the NVIDIA RTX 5080?

Roughly 71 tokens per second at Q8_0, estimated from the NVIDIA RTX 5080's 960 GB/s memory bandwidth.