Can an NVIDIA GeForce RTX 4060 run gpt-oss-20b?
Yes, with CPU offload. gpt-oss-20b needs 13.0GB at MXFP4 with llama.cpp and 8K context; the NVIDIA GeForce RTX 4060 has 8GB of VRAM (7.50GB usable), so part of the model spills to system RAM — it loads, but expect the interactive speed tier.
NVIDIA GeForce RTX 4060 · gpt-oss-20b · MXFP4
⚠️ Tight — grade C
InteractivebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars · CPU offload — speed varies heavily with layer split
weights 12.1 GBKV cache 0.40 GBoverhead 0.44 GBpool 7.50 GBneeds 13.0 GB — spills to system RAM
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache · 64GB system RAM (CPU offload)
$299 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 4060 × gpt-oss-20b, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| MXFP4 | 12.1 GB | Tight · C | interactive · offload · beta |
gpt-oss-20b on similar hardware
More models on the NVIDIA GeForce RTX 4060
Verdict computed from published specs and measured GGUF file sizes — see how the math works.