LLM Inference Optimization & Speculative Decoding

1 repo

This cluster focuses on techniques and implementations for accelerating large language model inference, particularly through speculative decoding strategies and optimized serving frameworks like vLLM. The repos center on Qwen model variants and related inference acceleration methods, addressing the computational challenges of deploying and running large language models efficiently. Someone exploring this area would find model implementations, inference optimization techniques, and practical deployments targeting real-world LLM serving performance.

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