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
- [Quantization] Pass `QuantizationArgs` to compress-tensors schema's get_min_capability
- [Bugfix] Improve DCP error hint in cp_utils
- [ROCm][Perf] Replace cat to bmm's inplace write when aiter enabled
- [Docs] Add FlashInfer environment variables to env_vars documentation
- [Usage]: SymmMemCommunicator: Device capability 10.3 not supported
- Update docs README.md to add NVFP4 quantization support
- Enable GDC for regular Triton MoE by calling `mm_k` from Lora
- [UT][PCP&DCP] UT for block_table.py
- [Feature]: CompressedTensors: NVFP4A16 not supported for MoE models
- [RFC]: Per-instance EPLB metrics
- Docs
- Python not yet supported