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
- [Hybrid] Map multiple FullAttn layers to a single page
- [core]add gdn packed decode path
- [Model] Optional FP8 lm_head compression for Llama and Mistral
- [Bugfix] Fix tool call ID collision in Anthropic endpoint
- [ROCm][Quantization] support amd-quark quantized Qwen3.5 model
- [CI] Improve (NCCL and torch) symmetric memory allreduce test coverage
- CUDA illegal memory access in MoE layer with MiniMax-M2.5 NVFP4 on Blackwell (SM120)
- [ROCm][Quantization] Enable experts_int8 on ROCm
- # [Bugfix]Fix indexError in moe wna16 quantization with enable-expert-parallel
- [Performance]: non-optimal performance of `linear` for medium batches
- Docs
- Python not yet supported