LocalClaw/LLM/MiniCPM-V (8B)
Open-weight local LLM

MiniCPM-V (8B)

Compact multimodal VLM. Strong image understanding in a small package. 3.6M downloads.

Laptop ready 8 GB RAM Q4_K_M Image description
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can MiniCPM-V (8B) run locally?

MiniCPM-V (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for minicpm-v-2.6 in LM Studio or another GGUF-compatible runtime.

openbmb/MiniCPM-V-2_6-GGUF
visionstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch minicpm-v-2.6 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Compact VLM
  • Strong image understanding
  • 3.6M downloads
  • Apache 2.0

Limitations

  • Limited context
  • Weak at coding
  • English/Chinese only

Best use cases

  • Image description
  • Document scanning
  • Visual Q&A
  • OCR

Capability profile

speed
7
quality
7
coding
4
reasoning
6

Technical notes

Developer
OpenBMB (Tsinghua)
License
Apache 2.0
Context window
8,192 tokens
Architecture
SigLIP vision encoder + MiniCPM language model

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

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Where to go next