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
- Guard /invocations with the API key check
- [SpecDecode] Support quantized DFlash2 selectors and owned DFlash/DSpark heads
- [Bugfix][ToolParser] Fix ValueError on second action block in InternLM2 streaming
- [MoE][NVIDIA] Add FlashInfer NVFP4 shared-expert fusion
- [ROCm][DSV4][Perf] Pack sparse-MLA ragged decode metadata into graph buffers
- [ROCm][Perf] Drop two dead per-step ops from the AITER sparse MLA metadata build
- [Perf][Spec Decode] Drop the per-request .item() from the ngram_gpu draft-trim loop
- [Rust Frontend] Anchor tokens after pending UTF-8 bytes at their own first byte
- [Rust Frontend] Token-aware marker parsing for Kimi K3
- [Bugfix] Detect the CUDA toolkit the way FlashInfer does in has_flashinfer()
- Docs
- Python not yet supported