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Llama-3.2-3B-Instruct

Llama family · 3.0B params

1recorded run
489.2best tok/s
1verified

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

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.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)2.7 GB8 GB
Q8_0 (8-bit)4.5 GB8 GB
FP16 (16-bit)7.7 GB12 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 PRO 6000 Blackwell489.2

Models with a similar footprint

ModelParamsQ4_K_M weights
LFM2.5-2.6B3B1.7 GB
Ministral-3-3B-Instruct-25123B1.7 GB
OpenLLaMA-3B3B1.7 GB
VibeThinker-3B3B1.7 GB
gemma-3n-E4B-it-text4B2.2 GB
NVIDIA-Nemotron-3-Nano-4B4B2.2 GB

Ranked by distance from Llama-3.2-3B-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
RTX PRO 6000 Blackwell · 96 GBLlama-3.2-3B-InstructQ4_K_Mllama.cpp 876a432640489.2 ✓28478.52.6src
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