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
- [Bug]: Inkling (InklingForConditionalGeneration) fails on SM120 — tml_fa4 attention lacks paged-KV support
- [ROCm] Enable fused QK-norm+RoPE+gate Triton kernel for Qwen3-Next/Qwen3.5
- [Core][KVConnector] Connector "ready" state for asynchronous connector startup
- [Bug]: System crash: Rust frontend aborts the process on prompt logprobs for a zero-token prompt
- [Bugfix] LoRA: normalize fused lora_a/lora_b in merged set_lora
- [RFC]: Programmatic Session-Aware KV Cache Management
- [Bug]: verify_with_parallel_config rejects DCP-over-PCP topologies that ParallelConfig accepts
- [ROCm][Perf] Kimi-K3 latent-MoE: overlap the shared all-reduce with the routed up-projection
- [Model Runner V2][Spec Decode] Only embed MM inputs during multi-layer MTP
- [Bugfix][Rust Frontend] Return an error instead of panicking on empty-prompt logprobs
- Docs
- Python not yet supported