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KTransformers is a flexible framework for experiencing cutting-edge optimizations in LLM inference and fine-tuning, focusing on CPU-GPU heterogeneous computing. It consists of two core modules: kt-kernel for high-performance inference kernels and kt-sft for fine-tuning. The project supports various hardware and models like DeepSeek series, Kimi-K2, achieving significant resource savings and speedups, such as reducing GPU memory for a 671B model to 70GB and up to 28x acceleration.
BettaFish (Weiyu) is an open-source multi-agent sentiment analysis system built from scratch without relying on any frameworks. It enables users to analyze public opinion across 30+ major domestic and international social media platforms and millions of comments through chat-like interactions, breaking information silos, revealing true sentiments, predicting trends, and aiding decision-making. Key features include AI-driven global monitoring, multimodal analysis, agent forum collaboration, and lightweight, extensible deployment.
Elo-style leaderboard where millions of crowd votes rank AI chatbots via blind head-to-head “battle mode” comparisons.