Local AI · Recipe · 2× RTX 3090

MiniCPM-V-4.7 35B-A3B INT4 with vLLM on 2× RTX 3090

MiniCPM-V-4.7 35B-A3B INT4 with vLLM on 2× RTX 3090: 199 tok/s according to github.com (dataset as of Nov 3, 2026).

by tonyd2wild

199tok/sEveryday

1 request, prose prompt, with DSpark (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

Engine

Engine
vLLM 0.31.1rc1.dev296 (nightly fe4df3d, torchcodec removed)
Quantization
INT4 (compressed-tensors, OpenBMB) + DSpark draft BF16
Model family
MiniCPM-V-4.7
Context
262,144
Parameters
35B-A3B
Creator
tonyd2wild
GitHub stars
2
Repo updated
Oct 13, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)199 tok/sProse, c1, DSpark k=7 (Default), Median von 5, thinking off, temp 0 Source 
  • Mixed (decode)356 tok/sMedian über 40 reale Prompts (8 Typen), c1, DSpark k=7, thinking off Source 
  • Peak (decode)655 tok/sZahlen 1 bis 300 auflisten (repetitiv, laut README Best Case), c1, DSpark k=7 Source 

Prefill by context

  • 112.7888,304 tok/sCold (neuer Prompt), mit DSpark k=7 Source 

Time to first token

Shorter is better.

  • Prompt not stated200 mscontext ~1.5K tok · C1, DSpark k=7, 8-Token-Antwort Source 

What you need

Hardware
2 × NVIDIA RTX 3090
Engine
vLLM 0.31.1rc1.dev296 (nightly fe4df3d, torchcodec removed)
Context
262,144 tokens

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