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
- [Bugfix][Docker] Add fastokens as optional pip extra and Docker build arg
- [Bug]: `vllm bench sweep serve_workload` crashes with "non-positive request rate" when max throughput < 1 req/s (integer floor/ceil of rate anchors)
- [New Model]: EuroBERT
- [ROCm] Make aiter fused-qk-rmsnorm capability probe crash-safe
- [Feature]: Support llmcompressor W8A8-FP8-Dynamic quantization for ModernBERT
- [RFC]: FlashInfer NVFP4 KV serving on pre-SM100 GPUs
- [Proposal] HeartFlow - vLLM Inference + Cognitive Engine
- [Bug]: `--data-parallel-start-rank 0` is silently treated as unset due to truthiness checks in `create_engine_config`
- [Bugfix][Multimodal] Normalize soundfile audio layout before resampling
- [Bugfix][Pooling] Preserve cache_salt for chunked embeddings
- Docs
- Python not yet supported