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
- Use hidden_pad and intermediate_pad from vLLM #34301
- [CI] set max transformers version for skywork model
- [Bugfix] Fix DeepGEMM context lens contiguity in MLA indexer
- [Model] Standardize `spec_step_idx`
- fix: honor CUDA graph memory profiling opt-out
- [WIP][Probe] Bypass flex_attention torch.compile — DO NOT MERGE
- [Core][KV Connector] Bounded early prefetch for waiting requests
- [Bugfix] Fix Gemma4 reasoning for batch chat completions
- [bug] AsyncScheduler drops first post-resume token after pause_generation + clear_cache
- [Attention] Make RoCM attention backends use num-blocks first layouts
- Docs
- Python not yet supported