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
- adds include_thinking optional Param to Request object to preserve re…
- [Bug]: Voxtral on Docker not launching
- [Usage]: Can't run W4A16 NVFP4 quantized model with MoE
- Add EXAONE 4.0 reasoning parser
- [Bug]: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 21.1%, Prefix cache hit rate: 11.9%
- [Bug]: vllm 0.10.1+gptoss wheel breaks on glibc 2.28
- [EPLB] Model Modify of EPLB
- [feat] preserve metadata for quantized model weight reload
- [Bug]: `vllm bench serve` isn't an exact replacement of benchmark_serving.py
- [NVFP4] Enable MOE support for SM_120 (RTX 5090)
- Docs
- Python not yet supported