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
- [CI Failure]: mi355_1: Kernels MoE Test %N
- [Bug]: GDN-based models (Qwen3.5/3.6 family) crash on the second request when running on multi-GPU XPU with prefix caching enabled
- [Bug]: assert is_mixture_of_experts fails on vllm serve with --enable-eplb
- [Feature]: Support per-deployment leader election ID and pod-level scoping for LoRA adapters in multi-deployment namespace setups
- [Model Runner V2][Bug]: The _gumbel_sample_kernel exhibits poor performance on H800.
- [Bug]: dbo not support spec decode
- [Bugfix] V1: skip non-local layers in get_attn_backends_for_group under PP
- [Bugfix] V1: support tuple model outputs in ubatch wrapper (dbo + spec decode)
- [Bug]: Workspace allocation failure when combining Decode Context Parallelism (DCP) with EAGLE3 speculative decoding
- [Bug]: Title: DeepSeek V4 intermittently leaks DSML fragments in auto + streaming mode, causing unstable tool-call parsing
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