OpenReasoning-Nemotron-7B

Nemotron family · 8.0B params

1recorded run

68.0best tok/s

1verified

Evidence: 1 sourced run · 1 independent source · first recorded Jul 12, 2026. What these labels mean.

What the OpenReasoning-Nemotron-7B numbers mean

The fastest verified result on our board is 68.0 output tok/s on an RTX 3060 x2 at Q4_K_M with a 512-token context. That is about 14.7 ms per generated token — 500 tokens takes roughly 7.4 seconds. Prompt processing on the same record runs at 2264.1 tok/s, so a 2,000-token prompt is read in about 0.9 seconds. Peak VRAM was measured at 7.3 GB.

How much VRAM does OpenReasoning-Nemotron-7B need?

OpenReasoning-Nemotron-7B has 8.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

Quantisation	Estimated VRAM	Smallest card that fits
Q4_K_M (4-bit)	6.0 GB	8 GB
Q8_0 (8-bit)	10.6 GB	16 GB
FP16 (16-bit)	19.2 GB	24 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)

RTX 3060 x268.0

Models with a similar footprint

Model	Params	Q4_K_M weights
AceReason-Nemotron-1.1-7B	8B	4.5 GB
DeepSeek-R1-0528-Qwen3-8B	8B	4.5 GB
DeepSeek-R1-Distill-Qwen-7B	8B	4.5 GB
gemma-4-E4B-it	8B	4.5 GB
granite-4.2-8b	8B	4.5 GB
InternVL3-8B	8B	4.5 GB

Ranked by distance from OpenReasoning-Nemotron-7B's parameter count. Full benchmark board.

All benchmarks Methodology

GPU	Model	Quant	Backend	Ctx	tok/s	prompt tok/s	VRAM GB	Source
RTX 3060 x2 · 12 GB	OpenReasoning-Nemotron-7B	Q4_K_M	llama.cpp 13f2b28	512	68.0 ✓	2264.1	7.3	src