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
- [Perf][MRV2] Keep padded prompt-tail verification on FULL CUDA graphs
- Fix FlashInfer warmup crash: autotune(tuning_buckets=...) must round M up, not down (Invalid MXFP8 split-K tactic with spec-decode)
- [ROCm][Perf][GLM-5.3-Flash] Add AITER topk backend for decodes
- [KV Offload] Expose OffloadingManager.lock()/unlock() and service the tiering control plane off the scheduler thread
- [ROCm][Perf]: GLM-5.3-Flash should use AITER topk kernel during decode
- [Feature]: Add a built-in JSON logging formatter
- [Doc] Clarify keep-mode pause and clear_cache semantics
- [Bugfix][Model Loader] Validate local safetensors metadata headers
- [ROCm][Perf][GLM-5.3-Flash] Stride-aware decode KDA
- [Bug]: `allowed_token_ids` + `bad_words` can emit tokens outside the allowlist
- Docs
- Python not yet supported