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Rig score · nvidia

Device readout 2026-11-01
Rig Score B tier
52%
Nvidia GeForce RTX 4080 (16GB) · 16 GB
runs 83 of 161 models · biggest gpt-oss 20B
localmodel.run/rig

Nvidia GeForce RTX 4080 (16GB)

Runs 83 of 161 models (52%)

Strong, runs mid-size models up to ~14B.

Biggest it can run: gpt-oss 20B

Grade
B
Runnable
83
Total
161
Coverage
52%

What Nvidia GeForce RTX 4080 (16GB) can run

At 16 GB of VRAM, Nvidia GeForce RTX 4080 (16GB) runs 83 of 161 tracked local models, 52% coverage that earns a B. The largest it handles is gpt-oss 20B at 21B parameters; anything bigger needs more memory or a lower quantization.

Only the 16 GB of VRAM drives speed: a model that spills into system RAM slows sharply. Keep the weights plus KV cache under VRAM and prefer Q4_K_M to leave headroom.

82 run well 1 tight fit 78 too big

Top models on Nvidia GeForce RTX 4080 (16GB)

FAQ

What local AI rig score does Nvidia GeForce RTX 4080 (16GB) get?

Nvidia GeForce RTX 4080 (16GB) scores B: it runs 83 of 161 tracked local LLMs (52%). The biggest it can run is gpt-oss 20B.

How big a model can Nvidia GeForce RTX 4080 (16GB) run?

Nvidia GeForce RTX 4080 (16GB) runs models up to gpt-oss 20B (21B parameters) at Q4_K_M. Speed depends on keeping the whole model inside VRAM.

Is Nvidia GeForce RTX 4080 (16GB) good for running local LLMs?

Only the 16 GB of VRAM drives speed: a model that spills into system RAM slows sharply. Keep the weights plus KV cache under VRAM and prefer Q4_K_M to leave headroom.

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Score from coverage of 161 tracked models, estimated with our memory methodology.