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126.0
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Zixi "Oz" Li
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OzTianlu
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https://github.com/lizixi-0x2F
lizixi-0x2F
AI & ML interests
My research focuses on deep reasoning with small language models, Transformer architecture innovation, and knowledge distillation for efficient alignment and transfer.
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We deleted the Embedding Layer -- INTRO Our Collins-Embedding-3M https://huggingface.co/NoesisLab/Collins-Embedding-3M Most "small" models are just giant vocab tables in a trench coat. Collins-3M changes that. By using 2-Universal Hashing and Chernoff-bound noise suppression, we’ve collapsed the embedding space into a fixed O(1) hash-map. * STSB: 0.7114 (Beating many 100M+ models) * Size: 3M (Edge-ready, IoT-ready) * Tech: Randomized Sign-Hashing + RoPE positional injection. Built by NoesisLab
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We deleted the Embedding Layer -- INTRO Our Collins-Embedding-3M https://huggingface.co/NoesisLab/Collins-Embedding-3M Most "small" models are just giant vocab tables in a trench coat. Collins-3M changes that. By using 2-Universal Hashing and Chernoff-bound noise suppression, we’ve collapsed the embedding space into a fixed O(1) hash-map. * STSB: 0.7114 (Beating many 100M+ models) * Size: 3M (Edge-ready, IoT-ready) * Tech: Randomized Sign-Hashing + RoPE positional injection. Built by NoesisLab
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OzTianlu/Kai-3B-Instruct-Q8_0-GGUF
Text Generation
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3B
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7 days ago
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