🚨 NEW RELEASE ALERT! 𝗥𝗜𝗣𝗣𝗟𝗘-𝟲𝟱𝗕 𝗦𝗔𝗚𝗘-𝗥𝗘𝗫𝗟𝟯 - 𝗠𝗬 𝗙𝗜𝗥𝗦𝗧 𝟵𝟵%…

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

🚨 NEW RELEASE ALERT! 𝗥𝗜𝗣𝗣𝗟𝗘-𝟲𝟱𝗕 𝗦𝗔𝗚𝗘-𝗥𝗘𝗫𝗟𝟯 - 𝗠𝗬 𝗙𝗜𝗥𝗦𝗧 𝟵𝟵% 𝗧𝗢𝗣-𝟭 𝗤𝗨𝗔𝗡𝗧! 🔥 🧠 𝟲𝟱𝗕 𝗗𝗘𝗡𝗦𝗘 • 𝟱.𝟰𝟭 𝗕𝗣𝗪 📦 𝟰𝟱.𝟮 𝗚𝗕 weights ⚡ Up to 𝟲𝟰.𝟴 𝗧𝗢𝗞/𝗦 - RTX PRO 6000 Blackwell 🎯 𝟵𝟵.𝟯𝟰% top-1 agreement vs BF16 🐈 𝟴𝟴.𝟴𝟵% sixcat-eval - just 𝟭.𝟵𝟭 𝗣𝗢𝗜𝗡𝗧𝗦 below my Qwen Flash Next FP4-Local result of 90.8%! 🤯 And I also built a SECOND version: just 𝟮𝟮.𝟯 𝗚𝗕 with 𝟵𝟲.𝟰𝟵% top-1 agreement! Two different memory budgets. The same 65B dense Ripple model from @RicursiveAI. ━━━━━━━━━━━━━━━━━━ 🔬 𝗧𝗛𝗘 𝟵𝟵% 𝗠𝗜𝗟𝗘𝗦𝗧𝗢𝗡𝗘 My 5.41 bpw release measured against Ricursive's original BF16 checkpoint: 🎯 99.34% top-1 agreement 📉 0.0005 mea

Posted by Cruz (3.3k followers) 13 h ago · 42 likes · 3k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: ripple-65b-preview-sage-rexl3-5.41bpw, ripple-65b-preview-sage-rexl3-2.57bpw, ripple-65b-preview-exl3-sglang-recipe, ripple-65b-preview-dflash2-sage-rexl3, sixcat-eval.

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