LFM2.5-8B-A1B, an edge model built for fast, reliable tool calling on consumer hardware.
173K Pulls 5 Tags Updated 4 months ago
LFM2.5 is a new family of hybrid models designed for on-device deployment.
1.3M Pulls 5 Tags Updated 8 months ago
Uncensored LFM2.5-1.2B-Instruct via Heretic: 3/100 refusals (from 98), KL 0.059. Tiny and fast; runs on almost anything.
61 Pulls 5 Tags Updated 3 days ago
2 Pulls 3 Tags Updated 3 days ago
Fast 2.6B local AI agent with thinking that rivals models 4x larger on tool use and multi-step agentic tasks.
769 Pulls 8 Tags Updated 2 weeks ago
Versión GGUF sin censura del modelo lfm2.5-8b-a1b de Liquid AI, lista para ejecutar en local.
208 Pulls 5 Tags Updated 2 weeks ago
61 Pulls 8 Tags Updated 2 weeks ago
57 Pulls 8 Tags Updated 2 weeks ago
Blazingly fast 1.2B local AI chat model for on-device conversations, RAG, and tool calling.
8,664 Pulls 6 Tags Updated 5 months ago
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.
1,809 Pulls 1 Tag Updated 1 month ago
23 Pulls 3 Tags Updated 2 weeks ago
Ultra-fast 350M local AI model for data extraction, structured output, and tool use.
2,494 Pulls 6 Tags Updated 5 months ago
LFM2.5-350M & LFM2.5-8B-A1B are fast, memory-efficient hybrid MoE language models. Unsloth Dynamic (UD) quants available.
1,840 Pulls 15 Tags Updated 3 months ago
LFM2.5-230M is a hybrid language model by Liquid AI, Built to Run Anywhere. The ideal lightweight AI companion for: 4 GB laptops · 8 GB desktops · Edge devices · Raspberry Pi 5
447 Pulls 1 Tag Updated 3 weeks ago
284 Pulls 6 Tags Updated 3 months ago
LFM2.5-8B-A1B Q8_0 with working tool calls — fixes the llama.cpp parser crash (#23838). Same weights, metadata-only fix.
241 Pulls 2 Tags Updated 3 months ago
A general-purpose 8.3B Mixture-of-Experts model from Liquid AI that activates only ~1.5B parameters per token — delivering strong reasoning, tool calling, and multilingual support while fitting comfortably in 8 GB VRAM.
143 Pulls 1 Tag Updated 2 months ago
206 Pulls 1 Tag Updated 5 months ago
https://huggingface.co/LiquidAI/LFM2.5-VL-450M
133 Pulls 1 Tag Updated 4 months ago
121 Pulls 6 Tags Updated 2 months ago