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
- [KVConnector] Allow connector to protect GPU blocks from eviction
- [torch.compile] Avoid graph fragmentation in unified_kv_cache_update
- [Bugfix] Disable torch.compile for batch invariance on Blackwell to ensure determinism
- [Bug]: vLLM serve crashes after processing requests with FlashMLA + DP on DeepSeek
- [Bug]: GLM 4.6v startup failed
- [Feature]: Add prefix cache state metrics for KV cache monitoring
- [Bug]: LoRA MoE Eager Mode Changes Outputs
- [Feature][Speculative Decoding]: Multi Modal Draft Model Support
- Scheduler: skip KV-blocked requests to prevent blocking (#31731)
- [config] fix error occurs when loading local mode(starting with /)
- Docs
- Python not yet supported