How to Run LFM3-1.7B Locally in 1 GB: The Qwen3.5-9B Win Rests on 4 Benchmarks
Liquid AI's own benchmark table puts LFM3-1.7B, its new 1.7B text model, ahead of Qwen3.5-9B on average. It fits in about 1 GB at 4-bit, reads 256K tokens of context, and was post-trained for tool calling inside agent harnesses. The same model card tells you not to use it for agentic coding or comp…
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- 2026-11-08 13:50 · DEV Community — Machine Learning
How to Run LFM3-1.7B Locally in 1 GB: The Qwen3.5-9B Win Rests on 4 Benchmarks