LFM2.5-2.6B

Overview

The native BF16 checkpoint of Liquid's LFM2.5 2.6B for vLLM and SGLang - hybrid conv + GQA architecture, 128K context window, and agentic reinforcement-learning post-training.

Recommended hardware

≈ 8 GB VRAM to run this 2.6B model at the BF16 quantization.

Fits 8 GB+ consumer GPUs (e.g. RTX 4060, GTX 1070), or CPU inference

Links

• View on HuggingFace
• Run on Infersec