🔄 In a Training Loop

Nikita Davidchuk

Ar4ikov

38 21 486

https://github.com/Ar4ikov

Ar4ikov

AI & ML interests

nlp, web, opensource, transformers, asr, ser, tts, cv

Recent Activity

liked a model 5 days ago

tabularisai/multilingual-emotion-classification

updated a model 5 days ago

Aniemore/wavlm-bert-fusion-s-emotion-v1-crosslingual

updated a model 5 days ago

Aniemore/wavlm-bert-base-s-emotion-v1-crosslingual

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Organizations

liked a model 5 days ago

tabularisai/multilingual-emotion-classification

Text Classification • 0.3B • Updated 10 days ago • 48.3k • • 25

updated 9 models 5 days ago

reacted to DavidAU's post with 🔥 6 days ago

Post

9924

Qwen 3.6 27B - Fable Fusion 711 - Closed Source AI Performance Levels

1256 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-GGUF

SOURCE:
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 wino

Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode]
mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763
mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759

Qwen3.6-27B-Instruct: [base, non heretic]
mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742

Qwen3.6-35B-A3B-Instruct [base, non heretic]
mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688