๐Ÿ”ฅTurboLoRA + Medusa: How We 2xโ€“3x LLM Inference Speed with Multi-Token Decoding

Predibase by Rubrik ยท Beginner ยท๐Ÿง  Large Language Models ยท10mo ago
Want to make your open-source LLMs 2xโ€“3x faster in production? In this video, we reveal the core optimizations behind Predibase Inference Engine 2.0โ€”including the secret sauce: TurboLoRA and Medusa. We break down how TurboLoRA combines LoRA adapters with speculative decoding, and how Medusa heads enable high-throughput multi-token generation in a single forward passโ€”with zero trade-offs in quality. Key Highlights for ML Engineers & Data Scientists: ๐Ÿš€ What is TurboLoRA? And why it outperforms LoRA + spec decoding used separately ๐Ÿš€ How Medusa heads unlock parallel decoding (more tokens, fโ€ฆ
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