DiggTop ⌕

Llama-3.3-70B-Instruct

Llama family · 71.0B params

1recorded run
20.1best tok/s
1verified

Evidence: 1 sourced run · 1 independent source · first recorded Sep 4, 2026. What these labels mean.

What the Llama-3.3-70B-Instruct numbers mean

The fastest verified result on our board is 20.1 output tok/s on an CMP 170HX at NVFP4 with a 32768-token context. That is about 49.7 ms per generated token — 500 tokens takes roughly 24.9 seconds. Prompt processing on the same record runs at 626.2 tok/s, so a 2,000-token prompt is read in about 3.2 seconds. Peak VRAM was measured at 57.4 GB.

How much VRAM does Llama-3.3-70B-Instruct need?

Llama-3.3-70B-Instruct has 71.0B 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)46.7 GB64 GB
Q8_0 (8-bit)87.6 GB141 GB
FP16 (16-bit)164.1 GBmulti-GPU or CPU offload

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. CMP 170HX20.1

Models with a similar footprint

ModelParamsQ4_K_M weights
Qwen3-Coder-Next80B45.0 GB
Kimi-Linear-48B-A3B-Instruct49B27.6 GB
Ornith-1.5-35B-A3B36B20.2 GB
Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v236B20.2 GB
Ornith-1.5-35B-A3B-MTP36B20.2 GB
Qwen3.6-35B-A3B36B20.2 GB

Ranked by distance from Llama-3.3-70B-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
CMP 170HX · 64 GBLlama-3.3-70B-InstructNVFP4vllm 0.28.03276820.1 ✓626.257.4src
↑