4 Tiny Offline AI Models

Local AI models can run on ordinary computers without a supercomputer or cloud subscription, although the graphics card remains the main factor determining model size and capabilities. Options include Google’s Gemma 4 E2B, which supports text, images, and audio, around 140 languages, and a 128,000-token context window; Alibaba’s Qwen 3.5 Small, with model sizes ranging from 0.8 to 9 billion parameters, a context window of up to 262,000 tokens, and support for 201 languages, which can run with 8 GB of graphics memory; and Liquid AI’s LFM 3, which is less than a gigabyte in size and designed for AI agents, task execution, and planning. IBM’s Granite 4.2 is about 2.24 GB and is aimed at reasoning, programming, and tool use. These models offer a strong experience at lower cost than larger models, though their results do not match theirs.

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