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
- [ROCm][Perf][DSv4.1] HIP sparse MLA decode kernel for batched decode on gfx942
- [ROCm][DSv4.1][Perf] gfx942 sparse MLA decode: BLOCK_K=16 with 2-stage pipelining
- [Perf][Attention] Candidate-only FP8 indexer decode scoring on SM90
- [Bug]: mamba_ssm_cache_dtype="float16" crashes mamba-family models at startup — bare kernel assertion with an empty message (selective_scan_fwd.cu:791)
- [Refactor][Attention] Make MLA DCP collectives pluggable
- [Warmup v2] Signature-driven JIT warmup for Triton kernels
- [Perf] Fuse admission-time staged writes into fewer kernel calls
- [Tracking] DeepEP v2 maturation and legacy DeepEP v1 removal
- [Bugfix] Keep ranks in step when the FlashInfer autotune cache fails to load or save
- [Bug]: DeepSeek V4.1 tool parser drops malformed DSML blocks and emits invalid/empty args on truncation
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