pzsacc / nano-vllm-liteView on GitHub
This repository is inspired by nano-vllm. Thanks! The core improvements include a CUDA-based Add+RMSNorm fused kernel, Chunked Prefill for a mixed scheduler, and FP8 KV Cache quantization achieved by rewriting the FlashAttention/PagedAttention Decode kernels with Triton. Hope this project helps you dive deeper into LLM inference mechanics!
☆36Sep 12, 2026Updated last month

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