vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [KV Connector][Hybrid] Enable GDN all-mode Mamba prefix caching with Mooncake Store retention
- [Spec Decode] Add unit tests for metrics and custom proposer loader
- [MoE] [MoE Refactor] Migrate int8 w4a8int8 oracle 37753
- [KVConnector] Decouple store retention from HBM retention
- [Bugfix][Hardware][Apple] Build cpu_fused_moe on Apple Silicon
- [Bugfix] Handle list slot mappings in attention context
- [Perf] Fuse DFlash cache insert kernel
- [Kernel]: _flash_attn_fwd() got an unexpected keyword argument 'dynamic_causal'
- fix(flashinfer): guard trtllm MoE behind x86_64 check
- [Metrics] Skip unknown metric types in `get_metrics_snapshot()`
- Docs
- Python not yet supported