uv-speculative-decoding

What problem does it solve?

This Skill significantly speeds up Large Language Model (LLM) inference, reducing latency and improving throughput without sacrificing output quality.

Core Features & Use Cases

• Optimize Inference Speed: Achieve 1.5-3.6× speedups using techniques like speculative decoding, Medusa, and lookahead decoding.
• Reduce Latency: Ideal for real-time applications such as chatbots and code generation tools.
• Efficient Deployment: Deploy LLMs effectively on hardware with limited computational resources.
• Use Case: When deploying a chatbot that needs to respond instantly to user queries, this Skill can be used to ensure the LLM generates responses much faster, providing a smoother user experience.

Quick Start

Use the uv-speculative-decoding skill to accelerate LLM inference by loading a draft model alongside the target model.