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
- [Feature]: Operator opt-out for the expandable_segments KV-connector rejection (copy-based connectors have no viable config on unified memory)
- [Core] Skip redundant draft token alloc + sampling
- [BugFix] Fix `num_output_placeholders` preemption underflow
- [Feature] PrefillDelayer for better DPA scheduling
- [Perf][ROCm] Add AITER custom AG/RS
- Support MLA properly in the Transformers modeling backend
- [ROCm] [CI] Support cached K/V (key/value=None) in Triton prefix-prefill
- [Core] Add Min-k sampling: temperature-invariant logit-space truncation
- Fix silent text-LoRA no-op for remaining VLM wrapper models
- [Structured Output] Compose auto tool-call grammar with response_format schema
- Docs
- Python not yet supported