๐จ NEW RELEASE ALERT! ๐ฅ๐๐ฃ๐ฃ๐๐-๐ฒ๐ฑ๐ ๐ฆ๐๐๐-๐ฅ๐๐ซ๐๐ฏ - ๐ ๐ฌ ๐๐๐ฅ๐ฆ๐ง ๐ต๐ต%โฆ
This is a dev post classified by AGK Intelligence as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
๐จ NEW RELEASE ALERT! ๐ฅ๐๐ฃ๐ฃ๐๐-๐ฒ๐ฑ๐ ๐ฆ๐๐๐-๐ฅ๐๐ซ๐๐ฏ - ๐ ๐ฌ ๐๐๐ฅ๐ฆ๐ง ๐ต๐ต% ๐ง๐ข๐ฃ-๐ญ ๐ค๐จ๐๐ก๐ง! ๐ฅ ๐ง ๐ฒ๐ฑ๐ ๐๐๐ก๐ฆ๐ โข ๐ฑ.๐ฐ๐ญ ๐๐ฃ๐ช ๐ฆ ๐ฐ๐ฑ.๐ฎ ๐๐ weights โก Up to ๐ฒ๐ฐ.๐ด ๐ง๐ข๐/๐ฆ - RTX PRO 6000 Blackwell ๐ฏ ๐ต๐ต.๐ฏ๐ฐ% top-1 agreement vs BF16 ๐ ๐ด๐ด.๐ด๐ต% sixcat-eval - just ๐ญ.๐ต๐ญ ๐ฃ๐ข๐๐ก๐ง๐ฆ below my Qwen Flash Next FP4-Local result of 90.8%! ๐คฏ And I also built a SECOND version: just ๐ฎ๐ฎ.๐ฏ ๐๐ with ๐ต๐ฒ.๐ฐ๐ต% top-1 agreement! Two different memory budgets. The same 65B dense Ripple model from @RicursiveAI. โโโโโโโโโโโโโโโโโโ ๐ฌ ๐ง๐๐ ๐ต๐ต% ๐ ๐๐๐๐ฆ๐ง๐ข๐ก๐ My 5.41 bpw release measured against Ricursive's original BF16 checkpoint: ๐ฏ 99.34% top-1 agreement ๐ 0.0005 mea
Posted by Cruz (3.3k followers) 1 h ago ยท 23 likes ยท 1.1k views ยท view the original post on X. Kept by the Dev Radar as AI dev tools. 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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