Rent a GPU

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

RTX 4080 × gpt-oss 20B8K context
YesRuns fully on the GPU
Memory at Q5_K_M15.9 GB of 16 GB
Weights 14.9 GBKV cache 0.4 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Memory15.9 GBof 16 GB usable
Speed~168tokens per second
  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 can run gpt-oss 20B fully in VRAM at Q5_K_M (very good), using about 15.9 GB of the 16 GB available, at roughly 168 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 13.7 GB here). You have room for Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 4080? 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 can use.

QuantQualityMemoryFits?Speed
FP16Full quality42.8 GBToo big—
Q8_0Near-lossless23.2 GBToo big—
Q6_KExcellent18.1 GBToo big—
Q5_K_MVery good15.9 GBFits~168 tok/s
Q4_K_MGood, most popular13.7 GBFits~197 tok/s
Q3_K_MNoticeably degraded11.2 GBFits~245 tok/s
Q2_KHeavily degraded8.8 GBFits~319 tok/s

GPUs that run gpt-oss 20B comfortably

Models that run well on the NVIDIA RTX 4080

Frequently asked questions

Can NVIDIA RTX 4080 run gpt-oss 20B?

Yes. The NVIDIA RTX 4080 can run gpt-oss 20B fully in VRAM at Q5_K_M (very good), using about 15.9 GB of the 16 GB available, at roughly 168 tokens/second.

How much VRAM does gpt-oss 20B need?

About 13.7 GB at Q4_K_M with 8,192 tokens of context, and about 42.8 GB at full FP16 precision.

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

Roughly 168 tokens per second at Q5_K_M, estimated from the NVIDIA RTX 4080's 717 GB/s memory bandwidth.