LFM2.5-2.6B-GGUF

LFM2.5-2.6B-GGUF

VRAM needed

4 GB

Fits 4 GB+ consumer GPUs, or CPU inference

AuthorLiquidAI
Parameters2.6B
QuantizationQ8_0
FormatGGUF
Licenselfm1.0
File size2.68 GB
View on HuggingFace

Overview

Liquid's LFM2.5 2.6B hybrid at high fidelity - agentic post-training, 128K context, and 220 tok/s decode on an M5 Max. Fits a 4 GB card with room to spare.

Recommended hardware

≈ 4 GB VRAM to run this 2.6B model at the Q8_0 quantization.

Fits 4 GB+ consumer GPUs (e.g. GTX 1650), or CPU inference

Links