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
- [Performance][EPLB] Skip unchanged layers in async transfer cycles
- [weight loader] add dtype equality validation between parameter and weight
- [ROCm][Perf] Enable CSA multi-stream overlap for DeepSeek-V4
- [Bugfix] Reject negative token ids as out-of-vocabulary
- [Bugfix] Reject NUL byte in structured_outputs.regex
- [Bug]: DeepSeek-V4-Flash-0731 shows severe 1M KV concurrency regression on B300 (27.08x preview vs 7.73x 0731 + DSpark)
- [Quark] Remove quark-specific silent online quantization
- [Bug]: BGE-M3 default pooling task 'embed&token_classify' has no IO processor, causing an uncaught KeyError on /pooling
- [Bug]: step3p5 parser bypasses XML parsing for named/required tool_choice
- [Bug]: MooncakeStoreConnector process_tokens assertion fails on decode with MTP speculative decoding
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