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
- [Misc][ROCm] Add ROCm support to generate_cmake_presets.py
- [Bugfix][Frontend] Preserve MiniMax M2's unclosed final tool parameter
- [Bug]: Qwen2-VL video sampling divides by zero after rounding a one-frame clip to zero frames
- [CI][Test] Retry RemoteOpenAIServer startup on early death with a fresh port
- [Bugfix][Mamba] Restore prompt-tail prefix-cache hits with MTP
- [RL][Model Loader] Direct weight reload: write checkpoint weights into live parameters
- [Bug][XPU][MRV2]: engine dies when the first request after startup is a large prefill (eager all-reduce after XPU graph capture leaves the stream "Recording")
- [Bug]: DeepSeek-V4.1-Flash teacher-forced logprob shift on tool/structured text between nightlies dc36fcce and cd10ed6f (SM103, fp8_ds_mla)
- [Bugfix] Stop re-forcing thinking-budget end tokens once the forced end sequence is complete
- [V1][Perf] Skip the block-table H2D copy when no row changed
- Docs
- Python not yet supported