DominuZ/ncm-classificador-bertimbau
Text Classification • 0.3B • Updated • 48 • 2
🔄 In a Training Loop
Edelmar Schneider
DominuZ
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updated a model 5 days ago
DominuZ/ncm-classificador-bertimbau upvoted an article 6 days ago
How to train a new language model from scratch using Transformers and TokenizersOrganizations
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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
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
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upvoted an article 6 days ago
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How to train a new language model from scratch using Transformers and Tokenizers
julien-c
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Add external one-shot result: jq-coder-0.6B v14 (0.305)
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#1 opened 8 days ago
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