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Can the NVIDIA RTX 2080 Ti run Qwen2.5 Coder 7B?

RTX 2080 Ti × Qwen2.5 Coder 7B8K context
YesRuns fully on the GPU
Memory at Q8_09.2 GB of 11 GB
Weights 8.1 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~46tokens per second
Max context32Kthe model's full window
  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 2080 Ti can run Qwen2.5 Coder 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 11 GB available, at roughly 46 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen2.5 Coder 7B:

ollama run qwen2.5-coder: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 2080 Ti

Run it in the cloud

No NVIDIA RTX 2080 Ti? Run Qwen2.5 Coder 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 11 GB the NVIDIA RTX 2080 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality16.3 GBToo big—
Q8_0Near-lossless9.2 GBFits~46 tok/s
Q6_KExcellent7.3 GBFits~59 tok/s
Q5_K_MVery good6.5 GBFits~68 tok/s
Q4_K_MGood, most popular5.7 GBFits~80 tok/s
Q3_K_MNoticeably degraded4.8 GBFits~99 tok/s
Q2_KHeavily degraded3.9 GBFits~129 tok/s

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 Qwen2.5 Coder 7B 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 Qwen2.5 Coder 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 -- qwen2.5-coder:7b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen2.5-coder:7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen2.5 Coder 7B comfortably

Models that run well on the NVIDIA RTX 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run Qwen2.5 Coder 7B?

Yes. The NVIDIA RTX 2080 Ti can run Qwen2.5 Coder 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 11 GB available, at roughly 46 tokens/second.

How much VRAM does Qwen2.5 Coder 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 Qwen2.5 Coder 7B on the NVIDIA RTX 2080 Ti?

Roughly 46 tokens per second at Q8_0, estimated from the NVIDIA RTX 2080 Ti's 616 GB/s memory bandwidth.