view post Post 24148 Qwen 3.6 27B Fine tune exceed 700 ARC-C for both 8 and 4 bit.A new level of uncensored performance the puts this model squarely at "closed source" level of intelligence.Model exceeds all critical benchmarks for both Qwen 3.6 27B AND Qwen 3.6 35B-A3B... and not by a little either.Neo Imatrix MAX ggufs in both regular and MTP quants.Benchmarks for Qwen 3.6 27B org and tuned, as well as Qwen 3.6 35B-A3B are up at the repo. DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF See translation 20 replies · ❤️ 17 17 🚀 8 8 + Reply
view post Post 16781 Qwen 3.6 27B - Fable Fusion 711 - Closed Source AI Performance Levels1256 likes || 1.37 Million downloads || 32 quant repos || Multiple 3rd party performance verification.The strongest Qwen 3.6 27B fine tune BASE ever.It beats everyone - confirmed by 3rd party evaluation, multiple users, and in depth testing.Q8 runs hotter and better than BF16 of the org Qwen 3.6 27B from Qwen.And so does the 4 bit versions too.GGUFS (MTP/Reg) and Several other quant types too: DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUFSOURCE: DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP(you can try it right in your browser at the source repo)PS: 40B versions in testing, already SOTA levels beyond Qwen 3.6 27B. arc/c arc/e boolq hswag obkqa piqa winoQwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759Qwen3.6-27B-Instruct: [base, non heretic]mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742Qwen3.6-35B-A3B-Instruct [base, non heretic]mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688 See translation 5 replies · 🔥 24 24 🚀 6 6 ❤️ 4 4 😎 3 3 + Reply
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF Image-Text-to-Text • 27B • Updated 4 days ago • 3.02M • 2.11k
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