A fork of the NInfer C++20/CUDA inference engine has been developed to support a 1 million token context window for the Qwen-3.8 27B model. This enhanced version, running on dual 5090 GPUs, achieves significantly higher token-per-second rates for decoding compared to vLLM, particularly beyond the native context limits of the base model. While vLLM offers faster prefill times, the NInfer fork demonstrates improved memory efficiency and sustained decode performance at extreme context lengths. AI
IMPACT Enables significantly larger context windows for local LLM deployments, potentially improving performance on tasks requiring extensive context.
RANK_REASON This is a fork of an existing inference engine with added features for a specific model, rather than a novel model release or foundational research.
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