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
- RFC: Kimi K3 RL support roadmap
- [Bugfix] Add Kimi K3 MoE support to benchmark_moe.py
- [KV Offload] Per-request store strategy hook (covers #42050 + admission seam)
- [Refactor] reuse GateLinear eligibility for ll_bf16 router warmup
- [Bug][DCP] NVIDIA DeepSeek-V3.2 / GLM-5.2 fused attention bypasses DCP handling
- [Kernel] Use expanding ldmatrix for Marlin W4A8
- [XPU] fix_test_worker_memory_snapshot_for_xpu
- [Rust frontend] treat stream_interval as no-op instead of unsupported
- [ROCm][Perf] DeepSeek-V4 skip ragged layout packing for topk indices in sparse attn prefill
- [Usage]: Does multimodal HF processor overlap with GPU compute in offline `LLM.generate()`?
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