Model for local agents and specialized applications, 1.73B parameters, tri-hybrid architecture (13 gated short convolutions, 5 sliding-window attention, 6 global attention). Explicit agentic post-training (harnesses like Hermes Agent, Pi, OpenClaw), 256K-token context, 16 languages including Italian, ~1GB of RAM at 4-bit. LFM Open License v1.0.
Visit the official site to download, learn more and start using LFM3-1.7B.
DeepSeek's MoE model with 552B total parameters and 8-16B active per token. 1M-token context, MIT license: free commercial use. Built for online serving, too large for local use on a single PC.
The most advanced open image model: excellent prompt adherence, solid anatomy, full fine-tuning. The standard for serious work.
Very few steps, high quality, and strong text rendering. The distilled FLUX variant, built for speed.
