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
- [Bugfix][Tool Parser] Fix Hermes parser losing closing braces in tool calls
- [Performance]: Standby power saving settings
- [Feature]: Support GPU UUID in `CUDA_VISIBLE_DEVICES`
- Fix UnboundLocalError in unquantized MoE backend selection
- Support sequence parallelism for Qwen3Next
- [Bug]: Multiple tool_calls parsed correctly by hermes_tool_parser, but fail in serving_chat.py with JSONDecodeError
- [Feature]: batch invariance for A100
- [RFC]: Tracking follow-up progress on Encode–Prefill–Decode Disaggregation
- [Refactor] Make Int8ScaledMMLinearLayerConfig to use QuantKey
- [BugFix] Support DP/EP in AG/RS for FLASHINFER_CUTLASS FP8
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