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
- [Bug]: CPU backend: a seeded request whose prompt is split by chunked prefill kills the engine ("CPU Generator does not use offset")
- [Bugfix][CPU] Keep seeded sampling working when chunked prefill splits a prompt
- [RFC]: Layered prefill: split prefill across decoder layer groups
- [Feature]: [Spec Decode] Support model-based drafters (target hidden states) via custom_class
- [Bugfix][DeepEPv2] Handle missing ibstat gracefully
- [Bugfix] Fix NixlConnector handshake StopIteration for Mamba-only models
- [Bug]: v0.25.1 streaming input beyond max_model_len produces negative scheduled token counts and crashes V2 runner
- [ROCm][Quantization] Add load-time int4 lm_head quantization for RDNA…
- [Doc] Fill gaps in the DeepSeek-V4.1-Flash B300 Dynamo disaggregated guide
- [Bugfix][MRV2] Fix GDN states and prefill metadata in AV profiling
- Docs
- Python not yet supported