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
- fix(utils): advance next_port when candidate_port is in reserved DP range in get_open_port
- LoRA on a compressed-tensors int4 (W4A16) model: rank-32 all-layer adapters produce weak, non-reproducible outputs; rank-8 partial-coverage adapters work fine (0.17.1–0.24.0, RTX 5090)
- [CUDA] Keep host registration and error drain on one runtime handle
- [Bugfix][Frontend] Handle malformed InternLM2 tool output
- RL Weight Update Tracker
- [KV Offload] Per-request store strategy hook (covers #42050 + admission seam)
- [Refactor] reuse GateLinear eligibility for ll_bf16 router warmup
- [Kernel] Use expanding ldmatrix for Marlin W4A8
- [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
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