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
- [Frontend] Add multimodal support to /inference/v1/generate endpoint
- Log KV cache GiB usage and warn when max_num_seqs exceeds capacity
- docs: Add build guide for NVIDIA Blackwell consumer GPUs (RTX 50-series) on Windows/WSL2
- bugfix(dcp,mla): Fix empty-shard MLA DCP decode merge
- [Bugfix] Explain ShareGPT benchmark filtering failures when fixed output_len invalidates all requests
- [Misc][LoRA] Add fused shrink+expand op with PDL for LoRA
- [Bugfix] Fix NaN corruption from CUDA graph padding in NVFP4 models
- [Quantization] Consolidate experts_int8 with fp8 online quantization
- [Bugfix] Add CPU profiler summary equivalent to CUDA summary
- [Feature] Add apply_with_spec_decode() to LogitBiasLogitsProcessor
- Docs
- Python not yet supported