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Can the NVIDIA RTX 4080 Super run gpt-oss 20B?

RTX 4080 Super × gpt-oss 20B8K context
YesRuns fully on the GPU
Memory at Q5_K_M15.7 GB of 16 GB
Weights 14.9 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~172tokens per second
Max context20Ktokens that fit at Q5_K_M
  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 gpt-oss 20B fully in VRAM at Q5_K_M (very good), using about 15.7 GB of the 16 GB available, at roughly 172 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts gpt-oss 20B:

ollama run gpt-oss:20b

Ollama's default download is Q4_K_M (about 13.5 GB here). You have room for Q5_K_M, which is very good: 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 gpt-oss 20B 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 quality42.6 GBToo big—
Q8_0Near-lossless23 GBToo big—
Q6_KExcellent17.9 GBToo big—
Q5_K_MVery good15.7 GBFits~172 tok/s
Q4_K_MGood, most popular13.5 GBFits~202 tok/s
Q3_K_MNoticeably degraded11 GBFits~251 tok/s
Q2_KHeavily degraded8.6 GBFits~327 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 gpt-oss 20B 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 gpt-oss 20B 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 -- gpt-oss:20b

Windows (PowerShell)

$env:GPUFIT_MODEL="gpt-oss:20b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run gpt-oss 20B comfortably

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run gpt-oss 20B?

Yes. The NVIDIA RTX 4080 Super can run gpt-oss 20B fully in VRAM at Q5_K_M (very good), using about 15.7 GB of the 16 GB available, at roughly 172 tokens/second.

How much VRAM does gpt-oss 20B need?

About 13.5 GB at Q4_K_M with 8,192 tokens of context, and about 42.6 GB at full FP16 precision.

How fast is gpt-oss 20B on the NVIDIA RTX 4080 Super?

Roughly 172 tokens per second at Q5_K_M, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.