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gpt-oss-20b on the RTX 3080

gpt-oss-20b at MXFP4 needs about 13 GB, more than the 10 GB of the RTX 3080: part of the model runs from system RAM, which slows generation.

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gpt-oss-20b

MXFP4 · 8K context

CPU/GPU offload

The model needs about 13 GB but only 9.7 GB of VRAM is usable: 3.3 GB must be loaded into system RAM. It runs, 74% on the GPU, but more slowly.

Your hardware
RTX 3080 10 GB · 64 GB RAM
Estimated memory
~13 GB estimate
VRAM (usable memory)
9.7 GB
GPU only
No
CPU/GPU offload
Required (3.3 GB)
Generation speed
28–55 tok/s estimate
Largest context in fast memory
None
Confidence: low

Based on: memory bandwidth (760 GB/s) and model size · system RAM bandwidth (~51 GB/s)

Memory breakdown

~13 GB (12.4 GB–13.6 GB) needed · estimate

3.3 GB must be offloaded to system RAM

  • Model weights11.3 GB
  • KV cache0.2 GB
  • Runtime overhead0.9 GB
  • Safety margin0.6 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size · sliding-window layers keep 128 tokens

EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet
  • split CPU/GPU runs vary a lot with the CPU and PCIe link
  • system RAM speed unknown (dual-channel DDR4-3200 assumed)
  • mixture-of-experts: speed depends on expert routing

Other quantizations on the RTX 3080

gpt-oss-20b on RTX 3080 + 64 GB RAM · 8K context
gpt-oss-20b MXFP48K~13 GB · 28–55 tok/s estimateCPU/GPU offload

Alternatives

GPUs that run gpt-oss-20b MXFP4 entirely in VRAM

Other models that fit the RTX 3080

Hardware that runs gpt-oss-20b MXFP4 entirely in memory

Prices and links follow the market you choose.

GeForce RTX 4060 Ti 16 GB

NVIDIA

ExcellentRuns gpt-oss-20b MXFP4 entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

Radeon RX 7600 XT

AMD

ExcellentRuns gpt-oss-20b MXFP4 entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

AMD Ryzen AI Max+ 395

Unified memory PC

ExcellentRuns gpt-oss-20b MXFP4 entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

No current offer imported for this market: the link opens a marketplace search.

Frequently asked questions

Can the RTX 3080 run gpt-oss-20b?
The model needs about 13 GB but only 9.7 GB of VRAM is usable: 3.3 GB must be loaded into system RAM. It runs, 74% on the GPU, but more slowly.
Which quantization should I use on the RTX 3080?
None fits entirely in VRAM at 8K context; the smallest, MXFP4, still needs offload.
What is the largest context on the RTX 3080?
At MXFP4, the model does not fit entirely in VRAM even at a short context.
How fast is gpt-oss-20b (RTX 3080)?
We estimate 28–55 tok/s (estimate, confidence low). Based on: memory bandwidth (760 GB/s) and model size, system RAM bandwidth (~51 GB/s).