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] Fix SP compilation shape mismatch errors for multimodal models and prompt embeds
- [Performance][torch.compile]: Inductor partition performance issues
- [Feature]: Support transformers>=5
- [Feature]: Add INT8 Support for KV Cache Quantization (Currently FP8-Only)
- Add batched and grouped EPLB communication
- [perf][MLA] Fuse RoPE/FP8 quantization/Q write using mla_rope_quantize_fp8
- [Refactor] Make Int8ScaledMMLinearLayerConfig to use QuantKey
- [RFC]: [P/D] Prefill compute optimizations with bi-directional KV cache transfers between P and D nodes
- [Feature]: Qwen3-Next dual-stream execution in_proj_qkvz in_proj_ba
- [Performance]: ROPE + KV-Cache-Write + pre-attn prepare-ops fusion
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