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
- [Frontend][Responses] Apply reasoning.context on the input path
- [Bug Fix] Indexer Cache need indexer num equal to attention num
- [XPU][UT] Fix OOM and skip graph case
- [Bugfix][Attention] Keep model-dtype query for FlashInfer builders serving non-causal attention
- Add vllm:kv_offload_cpu_total_blocks capacity metric
- [cleanup] Add missing Exception handlers in Responses API serving paths
- [Bug]: ExampleHiddenStatesConnector full gather causes long-context OOM
- [MoE][Kernel] Add optional HPC BF16xFP32 router GEMM
- fix(sampler): fall back to native sampling when flashinfer is absent
- [2/N][Feat][Perf] Add new warmup infrastructure for JITs. Add predicate filtering for JIT warmup, and migrate Inkling FA4
- Docs
- Python not yet supported