OpenAI
Gpt Oss Safeguard 20B
OpenAI·20B·Transformer·128K ctx·2026-08
Model size→Hardware requirement→Actual fit
Gpt Oss Safeguard 20B needs ~15.2–27.9 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.
8 GB
RTX 4060 · 3060 Ti
15.28
Q4_K_M · Est. ~3 tok/sSlow · CPU offload
12 GB
RTX 4070 · 3060 12G
15.212
Q4_K_M · Est. ~5 tok/sSlow · CPU offload
16 GB
RTX 4080 · M-series 16G
15.216
Q4_K_M · Est. ~38 tok/sCompromises
24 GB
RTX 4090 · 3090
17.724
Q5_K_M · Est. ~68 tok/sComfortable
48 GB
A6000 · 2×24G
27.948
Q8_0 · Est. ~38 tok/sComfortable
02 — Quantizations
QuantFile sizeEst. VRAM
Q4_K_M14 GB15.2 GB
Q5_K_M16.5 GB17.7 GB
Q8_026.7 GB27.9 GB
03 — Runtimes & use
llama.cpp · Ollama · LM Studio
General
Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.