Llama-3.1-8B-Instruct

Llama family · 8.0B params

1recorded run

158.1best tok/s

1verified

Evidence: 1 sourced run · 1 independent source · first recorded Aug 11, 2026. What these labels mean.

What the Llama-3.1-8B-Instruct numbers mean

The fastest verified result on our board is 158.1 output tok/s on an RTX PRO 6000 Blackwell at FP8 with a 32768-token context. That is about 6.3 ms per generated token — 500 tokens takes roughly 3.2 seconds.

How much VRAM does Llama-3.1-8B-Instruct need?

Llama-3.1-8B-Instruct 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 PRO 6000 Blackwell158.1

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 Llama-3.1-8B-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPU	Model	Quant	Backend	Ctx	tok/s	prompt tok/s	VRAM GB	Source
RTX PRO 6000 Blackwell · 96 GB	Llama-3.1-8B-Instruct	FP8	vllm 0.26.0	32768	158.1 ✓	—	—	src