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
- [Bugfix][Kimi K3] Stop streaming hold-back from leaking template markers
- [EPD] Remove duplicate image preprocessing in EPD and enable preprocess on GPU
- [Bugfix] Fail fast with a clear error when CPU offload region exceeds available space
- [Security] Fix chat template resource-exhaustion DoS (GHSA-4hhp-h66f-…
- [Bug]: EAGLE embed_tokens sharing decision is made per-rank without cross-rank agreement — TP ranks build different drafters (rank0 keeps drafter embeddings, rank1 ties target's); acceptance collapses to ~0.45/draft
- [Bug]: Model Runner V2 + Gemma-4: memory profiler reports ~0.9 GiB more "available KV" than MRv1 → no runtime headroom → CUDA OOM under saturating load (no spec involved); with EAGLE it crashes earlier at cudagraph capture (stable-ABI aten::empty)
- [Feature] Qwen3-Next (GDN): mamba_cache_mode="all" prefix caching with speculative decoding (MTP) on V1
- [Rust Frontend] Add MiniCPM5 XML tool parser
- [Bug]: vllm-k3-toolcall repeat and repeat error
- [Bugfix][Kimi K3] Fix message-level tools, response_format passthroug…
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