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Kryven PRO

fish3982

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https://kryven.cc

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liked a model 1 day ago

Intel/GLM-5.3-Flash-W4A16-AutoRound

reacted to DavidAU's post with 🔥 21 days ago

Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored The fire of multiple Fable Fusion 711 cores in one, larger model. This is the first 40B fine tune that reaches "closed source" (IE OpenAI, Claude) level of intelligence in both 8 bit and 4 bit. This model is composed from multiple Qwen 27B Fable Fusion 711 cores (1700+ likes, 2.3 million+ downloads) - a record breaking model in terms of intelligence and raw power. The "40B Eleanor" takes this to the next level with improvements in thinking tokens/ thinking block size (1/10 to 1/2 the size), thinking in general and output detail quality with deep analytics too. - 1/10 to 1/2 the number of thinking tokens. - Extreme depth of detail in generations, including long form, in depth analytics. - STRONG creative abilities. - Auto-variable reasoning: Model only reasons as much as the task requires. - Strong general intelligence. - It says what it means in less words, more clearly than any previous tuned model. - It will go all in, in exacting detail when the situation calls for it. - If it thinks something is wrong / wrong path it will say so too. Regular and MTP Quants: https://huggingface.co/DavidAU/Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored-NM-DAU-NEO-MAX-MTP-GGUF

upvoted a paper 21 days ago

Attend to Your Own Thoughts: Breaking the Barrier for Post-Training Quantization of Reasoning LLMs through the Lens of 1.58-Bit Quantization

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upvoted a paper 21 days ago

Attend to Your Own Thoughts: Breaking the Barrier for Post-Training Quantization of Reasoning LLMs through the Lens of 1.58-Bit Quantization

Paper • 2608.01078 • Published Aug 2 • 2