Local Vision Models for a Computer With 16GB RAM
See which image-capable local AI models safely fit a computer with 16GB RAM.
Yes. A computer with 16GB RAM can run small local AI models. A safe first choice from the current LocalLens list is Gemma 3n E2B. This is a memory-fit estimate, not a speed promise.
The device we checked
LocalLens keeps 4GB for the operating system and background work. That leaves a working model budget of about 12GB.
Best models to start with
Gemma 3n E2B
Designed for efficient execution on everyday and edge devices.
- Estimated total RAM
- 8 GB
- RAM left
- 8 GB
- Expected path
- CPU-only assumption
ollama run gemma3n:e2bOpen verified model profile →Gemma 3 4B
Mature multimodal variants for question answering, summarization and image understanding.
- Estimated total RAM
- 10 GB
- RAM left
- 6 GB
- Expected path
- CPU-only assumption
ollama run gemma3:4bOpen verified model profile →Gemma 3n E4B
A stronger efficient multimodal option for laptops and edge devices.
- Estimated total RAM
- 10 GB
- RAM left
- 6 GB
- Expected path
- CPU-only assumption
ollama run gemma3n:e4bOpen verified model profile →Llama 3.2 Vision 11B
Image reasoning, captioning and visual question answering.
- Estimated total RAM
- 15 GB
- RAM left
- 1 GB
- Expected path
- CPU-only assumption
ollama run llama3.2-vision:11bOpen verified model profile →Gemma 3 12B
Mature multimodal variants for question answering, summarization and image understanding.
- Estimated total RAM
- 16 GB
- RAM left
- 0 GB
- Expected path
- CPU-only assumption
ollama run gemma3:12bOpen verified model profile →Recommended inference engine
LM Studio or Ollama
A CPU-first setup is the safest assumption when dedicated GPU support is unknown.
CPU use is practical for small models, but speed must be tested.How accurate is this result?
This page uses the same calculator rules as the live LocalLens tool. It includes the selected model file, runtime overhead, operating-system reserve and context reserve. It does not claim a generation speed because processor generation, memory bandwidth, cooling, runtime settings and open applications change real performance.
Start with the first model. Test a normal task, check response speed and watch memory use before using it for important work.
Enter your exact hardware →