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
- [Benchmark] Support recursive trace discovery and JAX trace formats
- [Draft] amd-quark online fp8 and mxfp4 quantization
- [Perf] CFS-aware torch thread count in set_default_torch_num_threads
- [Feature] Add FlashInfer cuDNN backend for ViT attention
- [Installation]: MAC M1 installation fails because of bits-and-bytes
- [Bug]: FP8 speed regression in version 0.16.0rc2.dev87+g0b20469c6 (latest nightly)
- [Performance]: qknorm+rope fusion slower than unfused on H100
- [Bug]: Nemotron 3 (all quants) take a LONG time to load
- [Bug]: Qwen3-Coder-Next加载模型自带的qwen3coder_tool_parser_vllm.py,报错No module named 'vllm.entrypoints.openai.protocol'
- [Bug]: Instruction following capability is deteriorating:Output introduces parameter defined in functioncall incorrectly
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