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
- [torch.compile] typing/debug cleanups: standardise LoadConfig.compute_hash, Path-typed traced_files, richer cache_key_factors.json
- fix: zero DP padding via torch.where to prevent NaN propagation into MoE
- [WIP][Model Runner V2] Enable mamba align for spec decode
- [Bugfix] Redact URLs in OpenTelemetry spans
- [CI] Wire EAGLE3 acceptance length tests into spec_decode nightly lanes
- [Bugfix][SimpleCPUOffloadBackend] Dedup in-flight CPU offload stores across scheduler steps
- [Bugfix][ROCm] Fix FP8 per-tensor scale rank mismatch causing Inductor assertion failure
- [CI Failure]: mi355_1: Quantization
- [CVE Backport] Handle `trust_remote_code` for transformers backend (releases/v0.12.0)
- [Bugfix][DeepSeek V4] Enable cross-node TP=16 FP8 serving
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