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[NEW MODEL] SupraLabs just released supra-title-FFT-preview, 115K samples, almost 10x our first chat title dataset

SupraLabs has released the supra-title-FFT-preview model, which is trained on 115K samples from a filtered dataset, significantly increasing the dataset size compared to its predecessor, the Supra-Title-350M-exp, which was trained on only 12K samples. The model, based on the LiquidAI/LFM2.5-350M-Base architecture with approximately 0.4 billion parameters, utilizes BF16 precision and is designed specifically for chat title generation without the need for a system prompt. This enhanced model offers improved coverage and performance for practitioners focusing on generating relevant titles in conversational AI applications.

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[NEW MODEL] SupraLabs just released supra-title-FFT-preview, 115K samples, almost 10x our first chat title dataset — AI News Digest