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][Kernel] Zero TRT-LLM 8x4 FP4 scale padding
- fix: aggressively zero speculator buffers to prevent CUDA illegal memory access on H100
- Revert "Support nvfp4 kv with kv-cache-dtype-skip-layers sliding_window" (#42890)
- CUDA illegal memory access during speculator prefill CUDA graph capture on H100
- [Frontend][Model] Add language control and metadata for Qwen3-ASR realtime ASR
- [V1][Sampling] Add opt-in fused generated-token top-logprobs path
- [Bug]: ValueError: The supplied chat template string (examples/tool_chat_template_gemma4.jinja) appears path-like
- [Bug]: wrong cutlass Arch import
- [Kernel][Perf] Scale fused MoE default-config M-tile threshold by tokens per expert (up to 1.49x on H20 at batch 96-768)
- [Bugfix] Treat tool parameter schemas without a type as allowing any type
- Docs
- Python not yet supported