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LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.
ai, video-generation, image-generation, cli, cursor, agent-skills, lightx2v, openapi
Agent skills for LightX2V — teach Cursor and AI agents to generate images & videos (t2v, i2v, t2i, s2v) via the lightx2v CLI and x2v.light-ai.top OpenAPI.
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