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
- [CPU] Support FP16 in the GDN attention kernels
- [refactor][model] Kimi-K3 DSpark MLA common base class
- [Bugfix][Kernel] Share FlashInfer b12x MoE workspaces across layers
- perf: persist FlashInfer multi-CTA-KV counter buffer in sparse MLA
- [Tracking] HiSparse bugfixes and performance improvements
- [Bugfix][Compile] Pin Inductor kernel configs under VLLM_BATCH_INVARIANT
- [ROCm][DSv4.1] KV-only insert for the DSpark context KV
- [Bugfix] Fix stale destination state in ThinkingBudgetStateHolder.sync_batch
- [Bugfix] Reset stale cuMem error state at allocation entry
- [Bugfix] Make LLMEngine.__del__ eagerly shut down engine_core
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