5 models
LiquidAI LFM2.5-24B-A2B: 24B reasoning MoE with only 2.45B active. Fast agents and tool use, 16 languages.
pulled as BF16, requant to IQ4_NL, with combined_en_huge as dataset (English + Coding focus)
pulled as BF16, vocab slice (combined_en_huge) requant to IQ4_NL (combined_en_huge) -- (English + Coding focus) - ~20% faster than Q4_K_M
Source: https://huggingface.co/FlameF0X/LFM2.5-1.2B-Distilled-Claude-4.6-GGUF?local-app=ollama
LFM2.5-2.6B by Liquid AI — deploy agents everywhere. A 2.6B dense reasoning model (Q4_K_M, ~1.7 GB) with native tool calling, 128K context, and 16-language support. Runs on any 8 GB GPU.