Nemotron-Cascade-14B-Thinking
1recorded run
35.7best tok/s
1verified
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.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 10.5 GB | 16 GB |
| Q8_0 (8-bit) | 19.1 GB | 24 GB |
| FP16 (16-bit) | 35.3 GB | 48 GB |
Fastest GPUs for this model (best tok/s)
- RTX 3060 x235.7
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| DeepSeek-R1-Distill-Qwen-14B | 15B | 8.4 GB |
| phi-4 | 15B | 8.4 GB |
| Phi-4-reasoning | 15B | 8.4 GB |
| Phi-4-reasoning-plus | 15B | 8.4 GB |
| Qwen2.5-Coder-14B-Instruct | 15B | 8.4 GB |
| DeepSeek-Coder-V2-Lite-Instruct | 16B | 9.0 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 3060 x2 · 12 GB | Nemotron-Cascade-14B-Thinking | Q4_K_M | llama.cpp 13f2b28 | 512 | 35.7 ✓ | 1140.0 | 15.4 | src |