Optimizing Qwen2.5-Coder Throughput with NVIDIA TensorRT-LLM Lookahead Decoding – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-16T23:50:38Z http://www.open-lab.net/blog/feed/ Anjali Shah <![CDATA[Optimizing Qwen2.5-Coder Throughput with NVIDIA TensorRT-LLM Lookahead Decoding]]> http://www.open-lab.net/blog/?p=96010 2025-04-23T02:44:36Z 2025-02-14T18:19:37Z Large language models (LLMs) that specialize in coding have been steadily adopted into developer workflows. From pair programming to self-improving AI agents,...]]> Large language models (LLMs) that specialize in coding have been steadily adopted into developer workflows. From pair programming to self-improving AI agents,...

Large language models (LLMs) that specialize in coding have been steadily adopted into developer workflows. From pair programming to self-improving AI agents, these models assist developers with various tasks, including enhancing code, fixing bugs, generating tests, and writing documentation. To promote the development of open-source LLMs, the Qwen team recently released Qwen2.5-Coder��

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