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
- [MLA][DeepSeek] Add VLLM_MLA_FP8_PROJ to force FP8 for MLA q_b_proj layer
- [Performance]: Custom Helion Kernels
- [RFC]: All Ops should be determined during init and wrapped in a Layer Module to avoid envs.ENVIRON overhead
- [Perf] Async logits proc and sampling metadata state update
- [Performance]: Multi-Modal Benchmark on NVIDIA A100 – Qwen2.5-VL / MiniCPM-V-4 / InternVL3_5-4B / InternVL3_5-2B
- [Bugfix] Fix ShardedStateLoader support for DeepSeek models with MLA scaling parameters
- [cuda 13][aarch64][CI] Adding CI steps to build arm64 cuda13 nightly wheels and images
- [DRAFT] Add RoaringBitmap-based sparse attention mask implementation
- [AMD] Amd/deepseek aiter fusions
- Add pytest marks, update ci_config and test_area accordingly
- Docs
- Python not yet supported