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] MLA alignment fail in Eagle speculative decoding for Kimi-K2.6 due to missing kimi_k2 model_type whitelist
- [TieredOffloading] Bound Secondary Tier lookup times
- [RFC]: Enable connector LoRA for audio multimodal models — convert nn.Linear projectors to vLLM-native linears
- [Rust Frontend] Add LongCat tool parser
- [DRAFT] OPT: MergeAttention shared memory for LSE loading
- [XPU]Enable VLLM_USE_TRITON_AWQ on XPU
- [Bug]: vllm 0.23.0 2*h20-141G mp+dep and mp +tep deploy dsv4p error
- [Bug]: DSV4-Flash MooncakeStoreConnector save never triggers when MTP speculative decoding is enabled
- [ROCm][MLA] Fuse RoPE + MLA KV-cache write via AITER Triton kernel
- [Frontend] Support count_reasoning_tokens in the Streaming Parser Engine
- Docs
- Python not yet supported