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Nemotron-Cascade-14B-Thinking

Qwen family · 15.0B params

1recorded run
35.7best tok/s
1verified

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

What the Nemotron-Cascade-14B-Thinking numbers mean

The fastest verified result on our board is 35.7 output tok/s on an RTX 3060 x2 at Q4_K_M with a 512-token context. That is about 28.0 ms per generated token — 500 tokens takes roughly 14.0 seconds. Prompt processing on the same record runs at 1140.0 tok/s, so a 2,000-token prompt is read in about 1.8 seconds. Peak VRAM was measured at 15.4 GB.

How much VRAM does Nemotron-Cascade-14B-Thinking need?

Nemotron-Cascade-14B-Thinking has 15.0B 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.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)10.5 GB16 GB
Q8_0 (8-bit)19.1 GB24 GB
FP16 (16-bit)35.3 GB48 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)
  1. RTX 3060 x235.7

Models with a similar footprint

ModelParamsQ4_K_M weights
DeepSeek-R1-Distill-Qwen-14B15B8.4 GB
phi-415B8.4 GB
Phi-4-reasoning15B8.4 GB
Phi-4-reasoning-plus15B8.4 GB
Qwen2.5-Coder-14B-Instruct15B8.4 GB
DeepSeek-Coder-V2-Lite-Instruct16B9.0 GB

Ranked by distance from Nemotron-Cascade-14B-Thinking's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX 3060 x2 · 12 GBNemotron-Cascade-14B-ThinkingQ4_K_Mllama.cpp 13f2b2851235.7 ✓1140.015.4src
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