Llama-3.2-3B-Instruct
1recorded run
489.2best tok/s
1verified
What the Llama-3.2-3B-Instruct numbers mean
The fastest verified result on our board is 489.2 output tok/s on an RTX PRO 6000 Blackwell at Q4_K_M with a 640-token context. That is about 2.0 ms per generated token — 500 tokens takes roughly 1.0 seconds. Prompt processing on the same record runs at 28478.5 tok/s, so a 2,000-token prompt is read in about 0.1 seconds. Peak VRAM was measured at 2.6 GB.
How much VRAM does Llama-3.2-3B-Instruct need?
Llama-3.2-3B-Instruct has 3.0B 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) | 2.7 GB | 8 GB |
| Q8_0 (8-bit) | 4.5 GB | 8 GB |
| FP16 (16-bit) | 7.7 GB | 12 GB |
Fastest GPUs for this model (best tok/s)
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| LFM2.5-2.6B | 3B | 1.7 GB |
| Ministral-3-3B-Instruct-2512 | 3B | 1.7 GB |
| OpenLLaMA-3B | 3B | 1.7 GB |
| VibeThinker-3B | 3B | 1.7 GB |
| gemma-3n-E4B-it-text | 4B | 2.2 GB |
| NVIDIA-Nemotron-3-Nano-4B | 4B | 2.2 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | Llama-3.2-3B-Instruct | Q4_K_M | llama.cpp 876a432 | 640 | 489.2 ✓ | 28478.5 | 2.6 | src |