FitMyLLM
OpenBMB/Mixture of Experts

OMiniCPM-V 4.7 35B-A3B

MiniCPM-V 4.7 35B-A3B — OpenBMB's first mixture-of-experts vision-language model: 35B total, about 3B active, for images, multi-image and video, with a 256K context. Three in four layers use linear attention and keep no growing cache.

chatvisionreasoningmultilingual
35.21B
Parameters (3B active)
256K
Context length
6
Benchmarks
14
Quantizations
490K
HF downloads
Architecture
MoE
Released
2026-10-12
Layers
40
KV Heads
2
Head Dim
256
Family
minicpm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
15.0 GB
14.8 + 0.2 KV
low
IQ3_XS3.5
16.1 GB
15.9 + 0.2 KV
low
Q3_K_S3.64
16.7 GB
16.5 + 0.2 KV
low
IQ3_M3.76
17.3 GB
17.0 + 0.2 KV
low
Q3_K_M4
18.3 GB
18.1 + 0.2 KV
low
Q3_K_L4.3
19.6 GB
19.4 + 0.2 KV
moderate
IQ4_XS4.46
20.4 GB
20.1 + 0.2 KV
moderate
Q4_K_S4.67
21.3 GB
21.0 + 0.2 KV
moderate
Q4_K_M4.89
22.2 GB
22.0 + 0.2 KV
good
Q5_K_S5.57
25.2 GB
25.0 + 0.2 KV
good
Q5_K_M5.7
25.8 GB
25.6 + 0.2 KV
good
Q6_K6.56
29.6 GB
29.4 + 0.2 KV
excellent
Q8_08.5
38.1 GB
37.9 + 0.2 KV
lossless
FP1616
71.1 GB
70.9 + 0.2 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN MINICPM-V 4.7 35B-A3B NOW

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Community Ratings

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Benchmarks (6)

MMBench91.7
MMLU-PRO83.5
MMMU80.2
AIME76.5
MMMU Pro69.7
LiveCodeBench56.6

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run minicpm:35b-q4_K_M

Tag may need adjustment — check ollama.com/library/minicpm for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000
AMD Radeon RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090 D
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 5090 D V2
24 GB VRAM • 1340 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA TITAN RTX
24 GB VRAM • 672 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30 PCIe
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30X
24 GB VRAM • 1220 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA PG506-207
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for MiniCPM-V 4.7 35B-A3B

Build Hardware for MiniCPM-V 4.7 35B-A3B
▸ SPEC SHEET

MiniCPM-V 4.7 35B-A3B — 35.21B MoE.

▸ SPECIFICATIONS
PARAMETERS
35.21B (3B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, vision, reasoning, multilingual
RELEASE DATE
2026-10-12
PROVIDER
OpenBMB
FAMILY
minicpm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.8 GB82%
IQ3_XS3.515.9 GB84%
Q3_K_S3.6416.5 GB85%
IQ3_M3.7617.0 GB86%
Q3_K_M418.1 GB88%
Q3_K_L4.319.4 GB90%
IQ4_XS4.4620.1 GB92%
Q4_K_S4.6721.0 GB93%
Q4_K_M4.8922.0 GB94%
Q5_K_S5.5725.0 GB96%
Q5_K_M5.725.6 GB96%
Q6_K6.5629.4 GB97%
Q8_08.537.9 GB100%
FP161670.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO83.5
MMMU80.2
MMBench91.7
LiveCodeBench56.6
AIME76.5
mmmu_pro69.7
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 4090
24 GB · 1008 GB/s
NVIDIA RTX 3090 Ti
24 GB · 1008 GB/s
NVIDIA RTX 3090
24 GB · 936 GB/s
AMD RX 7900 XTX
24 GB · 960 GB/s
Apple M4 Pro (24GB)
24 GB · 273 GB/s
NVIDIA L4 24GB
24 GB · 300 GB/s
NVIDIA A10 24GB
24 GB · 600 GB/s
Apple M2 (24GB)
24 GB · 100 GB/s
Apple M3 (24GB)
24 GB · 100 GB/s
Apple M4 (24GB)
24 GB · 120 GB/s
NVIDIA Tesla M40 24 GB
24 GB · 288 GB/s
NVIDIA Tesla P10
24 GB · 694 GB/s
NVIDIA Tesla P40
24 GB · 347 GB/s
NVIDIA Quadro RTX 6000
24 GB · 672 GB/s
NVIDIA Quadro RTX 6000 Passive
24 GB · 624 GB/s