MiniCPM-V 4.5 — VRAM, speed & local setup
Written by Jakub Rusinowski · Last updated
The 8B that made the series' reputation: an average of 77.0 on OpenCompass, which put it ahead of GPT-4o-latest and Gemini 2.0 Pro and made it the strongest multimodal model under 30B at release. Built on Qwen3-8B with a SigLIP2-400M vision encoder, 32K context, 5.6 GB at Q4_K_M. Code is Apache 2.0; the weights carry OpenBMB's own community licence, which permits free commercial use after registration.
MiniCPM-V 4.5 needs about 6 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.
VRAM and speed by quantization
Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.
| Quant | Memory | VRAM | Speed (est.) | Fit |
|---|---|---|---|---|
| Q2_K 2.63 bpw | 3.4 GB | ~154 tok/s | Fits | |
| Q3_K_M 3.41 bpw | 4.2 GB | ~133 tok/s | Fits | |
| Q4_K_M 4.83 bpw | 5.6 GB | ~107 tok/s | Fits | |
| Q5_K_M 5.67 bpw | 6.5 GB | ~95 tok/s | Fits | |
| Q6_K 6.56 bpw | 7.4 GB | ~86 tok/s | Fits | |
| Q8_0 8.50 bpw | 9.3 GB | ~70 tok/s | Fits | |
| F16 16.00 bpw | 16.8 GB | ~41 tok/s | Fits |
Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. MiniCPM-V 4.5 VRAM calculator →
Get MiniCPM-V 4.5 running
The cheapest catalogued GPU that runs MiniCPM-V 4.5 is the Intel Arc B570 (10 GB).
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How to run MiniCPM-V 4.5
Install Ollama, then run:
ollama run minicpm-v4.5Specifications
Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source.
- Parameters
- 8 Billion
- Context window
- 32,768
- Architecture
- SigLIP2-400M encoder + Qwen3-8B decoder
- Provider
- OpenBMB
- Licence
- MiniCPM Model License
- Practical deployment
- Laptop
- Specified at
- Q4_K_M
- System RAM
- 16 GB
- Record updated
- 2026-09-11
Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.
Quality and use cases
Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.
| Benchmark | Score | Provenance |
|---|---|---|
| OpenCompass | 77 / 100 pts | vendor-claimed · https://huggingface.co/openbmb/MiniCPM-V-4_5 |
Can I run MiniCPM-V 4.5 on my GPU?
- MiniCPM-V 4.5 on AMD Radeon RX 9060 XT 8GB
- MiniCPM-V 4.5 on Intel Arc B570
- MiniCPM-V 4.5 on Intel Arc B580
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 3060 (12GB)
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 3070
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 3070 Ti
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 3080 (10GB)
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 4060
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 4070
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 4070 Super
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 4070 Ti
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 5060
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 5060 Ti 8GB
- MiniCPM-V 4.5 on NVIDIA GeForce RTX 5070
Other MiniCPM-V sizes
MiniCPM-V 4.5 — frequently asked questions
How much VRAM does MiniCPM-V 4.5 need?
About 6 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.
Does MiniCPM-V 4.5 run on an RTX 4090 (24 GB)?
Yes. MiniCPM-V 4.5 needs about 6 GB at Q4_K_M, inside a 24 GB card, at an estimated 107 tokens/sec.
How do I run MiniCPM-V 4.5 locally?
Install Ollama and run `ollama run minicpm-v4.5`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.
What other sizes does MiniCPM-V come in?
MiniCPM-V 4.6 (2 GB), MiniCPM-V 4.5 (6 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.