Search models that run on 16 GB
7 models with published weights that fit in 16 GB — the common laptop. Counted at four-bit quantisation, weights only, leaving the machine about a third of its memory and a gigabyte for context: room for roughly 16 billion parameters. A mixture of experts is counted in full, because it is held in full even though only a few experts compute.
The commonest laptop configuration, and the point where a genuinely useful model runs locally: fourteen billion parameters at four-bit fits with room to spare for the context. Expect a capable general assistant that will not match the frontier, and remember that anything else the machine is doing competes for the same memory.
Models, tools and agents that go and look something up — the open web, a set of documents, a grounded answer with citations. Pricing is usually per call or per result rather than per token, so the cost follows how often you ask. What differs is freshness, how much of each page you get back, and whether you are handed sources you can check or a summary you must trust.
- Gemma-3-R1984-12BVIDraft12.2B≈7.9 GB at 4-bit
- Molmo2-8BAllen Institute for AI (Ai2)8.7B≈5.6 GB at 4-bit
- Qwen2.5-Coder-7BAlibaba7.0B≈4.5 GB at 4-bit2 also selling it hosted
- Jan-nanoMenlo Research4.0B≈2.6 GB at 4-bit
- LocateAnything-3BNVIDIA3.8B≈2.5 GB at 4-bit
- Isaac 0.2 2B PreviewPerceptron2.0B≈1.3 GB at 4-bit1 also selling it hosted
- Isaac 0.2 1BPerceptron1.0B≈0.7 GB at 4-bit1 also selling it hosted