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]: Add TurboQuant Support for KV Cache Quantization
- Added faster exp routine for lower precision data types.
- [CT]FP8 WoQ Linear Refactored
- [Mistral Grammar] Support Grammar Factory
- [NVIDIA] Fix DGX Spark logic
- [ROCm][CI] Fix CK MXFP4 MoE GEMM crash for unaligned intermediate_size_per_partition
- [QeRL] Compose online quantization with quantized reloading
- [Bug]: "none" reasoning effort doesn't do what it says it does (and may break output)
- [bug] Fix remaining START_DP_WAVE pause race in _handle_client_request
- [Parser] Remove unused request parameter from extract_reasoning()
- Docs
- Python not yet supported