{"slug": "lfm2-5-24b-a2b", "title": "LFM2.5-24B-A2B", "summary": "LiquidAI released LFM2.5-24B-A2B, a 23.97B-total, 2B-active mixture-of-experts model tuned for desktop-agent workloads, with weights posted October 9 and refreshed October 12 with an FP8 build. The model ships with a 131,072-token context, official GGUF, FP8, Base and ONNX builds, and a bespoke Liquid AI license; the GGUF drew 17,807 downloads in days while the model page logged 4,067 downloads and 234 likes. Its 13.7GB of q4 weights and 40-layer cache at 80MB per 1,000 tokens let a 24GB card run it with a real context window and a 32GB box run it with headroom for the tool loop.", "body_md": "**The always-on-agent MoE.** LiquidAI’s LFM2.5-24B-A2B (weights October 9, refreshed October 12 with the FP8 build) is a 23.97B-total, 2B-active mixture of experts tuned for the desktop-agent workloads the d1 edge line teases: 131,072-token context, official GGUF out the same day (17,807 downloads in days), plus FP8, Base and ONNX builds.\n\n**Fit math.** 13.7GB of q4 weights and a 40-layer cache at 80MB per 1,000 tokens (8 KV heads x 64 head-dim): a 24GB card runs it with a real context window, a 32GB class box runs it with headroom for the tool loop. The 2B active slice means per-token compute tracks a small model while 24B of knowledge stays resident, which is exactly the trade an always-on harness wants.\n\n**The license, again bespoke.** Same Liquid AI license terms as the d1 line: downloadable, deployable, with fleet-scale terms to read before embedding. 4,067 downloads and 234 likes in the first days; the GGUF carries 17,807 more.", "url": "https://wpnews.pro/news/lfm2-5-24b-a2b", "canonical_source": "https://tokenstead.ai/models/lfm2-5-24b-a2b", "published_at": "2026-10-14 22:43:00+00:00", "updated_at": "2026-10-15 00:14:29.020292+00:00", "lang": "en", "topics": ["large-language-models", "ai-agents", "ai-products", "ai-tools"], "entities": ["LiquidAI", "LFM2.5-24B-A2B", "Liquid AI license", "GGUF", "ONNX", "d1"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/lfm2-5-24b-a2b", "markdown": "https://wpnews.pro/news/lfm2-5-24b-a2b.md", "text": "https://wpnews.pro/news/lfm2-5-24b-a2b.txt", "jsonld": "https://wpnews.pro/news/lfm2-5-24b-a2b.jsonld"}}