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One 36B MoE. Six EXL3 releases. GPUs from 8 GB to 96 GB. 🔥

One 36B MoE. Six EXL3 releases. GPUs from 8 GB to 96 GB. 🔥 K2-Horizon-MoVA-36B-A4B is now local for almost everyone!!…

This is a AI post classified by Jev as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.

One 36B MoE. Six EXL3 releases. GPUs from 8 GB to 96 GB. 🔥 K2-Horizon-MoVA-36B-A4B is now local for almost everyone!! 👇🏼 2.5 bpw: 13.27 GB with 83.7% top-1 agreement 8.0 bpw: 38.07 GB with 96.43% agreement, at roughly half the BF16 weight footprint This is exactly why I use EXL3 when the goal is maximum model quality per GB. 𝗞𝟮 𝗛𝗢𝗥𝗜𝗭𝗢𝗡 𝗜𝗦 𝗔 𝗩𝗘𝗥𝗬 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗜𝗡𝗚 𝗠𝗢𝗗𝗘𝗟 It stores 36B parameters but activates only about 4B per token through a combination of: → Mixture-of-Experts feed-forward routing → Mixture-of-Values attention → 512K native context → fully open weights, training data, l

Posted by Cruz (2.1k followers) 1 h ago · 8 likes · 361 views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: k2-horizon-mova-36b-a4b-exl3, k2-horizon-mova-36b-a4b-exl3, k2-horizon-mova-36b-a4b.

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Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 43.7k posts from 5k X accounts over the last 14 days, 1.8k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-23 03:46 UTC. Full method.