LocalClaw/LLM/InternVL3 (8B)
Open-weight local LLM

InternVL3 (8B)

Shanghai AI Lab multimodal model. Strong vision understanding for documents, charts, and photos. MIT licensed. Note: primarily PyTorch/safetensors — community GGUF may vary.

Laptop ready 8 GB RAM Q4_K_M Document analysis and OCR
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can InternVL3 (8B) run locally?

InternVL3 (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for internvl3-8b in LM Studio or another GGUF-compatible runtime.

OpenGVLab/InternVL3-8B-Instruct
visionstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch internvl3-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Excellent document understanding
  • Strong chart and graph reading
  • MIT licensed
  • Good balance of vision and language

Limitations

  • Not the best for general text-only tasks
  • 8GB RAM needed
  • Slower than text-only models

Best use cases

  • Document analysis and OCR
  • Chart understanding
  • Photo description
  • Multimodal Q&A
  • Visual reasoning

Capability profile

speed
7
quality
7
coding
5
reasoning
7

Technical notes

Developer
Shanghai AI Lab (OpenGVLab)
License
MIT
Context window
32,768 tokens
Architecture
Vision-Language Model with InternViT-6B vision encoder

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