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
- [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()`
- [Bugfix] Package example Jinja chat templates in wheels
- [Bug][ROCm] GLM5.1 ROCM_AITER_MLA_SPARSE corruption persists between ISL 60k to 137k (AA-LCR dataset) on gfx942 in v0.23.0 (both compiled and eager mode)
- [Bug]: Illegal CUDA memory access in flashinfer_trtllm MoE autotune on aarch64/Grace
- [Core] Use FlashInfer workspace sizing helper
- [BugFix] Report correct cached_tokens for disaggregated prefill
- [Docs] Add Phi-4-mini-instruct to batch invariance tested models
- [Bugfix] Fix MiniMax-M3 compressed-tensors FP8 MoE SwiGLU params
- Docs
- Python not yet supported