LocalClaw/LLM/MiniCPM-V 4.7 (1B)
Open-weight local LLM

MiniCPM-V 4.7 (1B)

Use case: Vision tasks. Check the memory fit and choose a setup path below.

8 GB catalogue minimum8 GB RAMQ4_K_MVision tasks
Choose an app

This model needs a special runtime. Unsupported apps are clearly marked.

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LM StudioNot available for this model
UnslothNot available for this model
OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloads
llama.cppNot available for this model
Use with LocalClawOptional workspace after the model is installed
This model needs its official runtimecurrent llama.cpp / Ollama MiniCPM-V 4.7 support
Parameters
1B
Minimum RAM
8 GB
Model size
0.63 GB
Quantization
Q4_K_M

About MiniCPM-V 4.7 (1B)

Catalogue summary: OpenBMB Apache 2.0 compact vision-language model for images and video. The official 672MB Q4_K_M GGUF makes MiniCPM-V 4.7 1B practical on consumer laptops and edge devices.

MiniCPM-V 4.7 (1B) has a catalogue minimum of 8 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use the official current llama.cpp / Ollama MiniCPM-V 4.7 support setup. The current low-bit files are not a stock LM Studio install.

Model sourcePublic GGUF repository (verified 2026-11-06): openbmb/MiniCPM-V-4.7-1B-ggufUpstream releasePaper or model cardLicence text
visionvideolightspeedmultimodalgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelFollow the official current llama.cpp / Ollama MiniCPM-V 4.7 support instructions. Stock LM Studio support is not confirmed.
03
Try your workloadStart with a short prompt, check memory use and adjust context length before running longer tasks.

Catalogue record

  • Family: minicpm
  • Parameters: 1B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 0.63 GB
  • Tags: vision, video, light, speed, multimodal, general

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
10
quality
6
coding
3
reasoning
5

Technical notes

Developer
OpenBMB (Tsinghua)
License
Apache 2.0
Context window
262,144 tokens
Architecture
MiniCPM-V 4.7 image-text-to-text model with a Qwen3.5-style text stack, early visual-token compression, mixed 4x/16x visual compression and a 262K text context configuration.

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

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

MiniCPM-V 4.7 35B-A3B 35B (3B active, MoE)MiniCPM5 1B 1BMiniCPM5 2B 2BMiniCPM-V (8B) 8BLFM2.5-VL-3B 3B multimodalGemma 4 E2B E2BMinistral 3 3B Instruct 3BGemma 4 E4B E4B

Where to go next