vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [FA4] Update flash-attention to latest upstream FA4
- [RFC]: O(1) KV Cache for vLLM: 4.8x Speedup & 22x More Accurate than TurboQuant on Qwen2.5-7B
- [Bug]: qwen3.5 when enable response_format json_schema outputs garbled spaces
- [Performance]: llmcompressor W8A8 Inference: decoding stage speed is lower than FP16
- [Bug]: vLLM fails to start with LMCache + Qwen3-Coder-Next-FP8 (nightly image)
- [Bug]: heterogeneous disaggregated serving XPU (Prefill) + CPU (Decode) accuracy issue
- [Bug]: Error when trying to serve MiniMax 2.5 on 4 H100 nodes with 4 GPUS
- [Bug]: RuntimeError: failed to map GGUF parameters (18288)
- [Bug]: Bench Serve encounter utf-8 UnicodeDecodeError
- [Bug]: NVFP4 MoE produces garbage output on SM120 (RTX 5080) with CPU Weight Offloading — Nemotron-Cascade-2-30B-A3B
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