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
- [Docs] Update Quickstart with Apple Silicon/Metal compatibility note and safetensors-compatible default model
- [Cleanup] Remove orphaned output_text_buffer_length and stale spec-decode startup warning after V0 removal
- [Kernel] Optimize SM103 GDN causal-conv prefills
- [Bugfix] Avoid non-contiguous CPU tensors in Llama-4 ModelOpt weight …
- [Perf][CUDA] Programmatic dependent launch for the DSA decode kernels
- [Model][Perf] Overlap mixed GDN decode and prefill recurrent kernels
- [Bug]: Kimi-K3 prefix cache miss when prompt length is exactly a 1536-token boundary
- [Feature]: Add DFly speculative decoding and D-Cut support(Related to issue 50245)
- [Bugfix][ROCm] Reject incompatible mixed KV-cache layouts
- [Bugfix] Fix TurboQuant cache dtype propagation and FP8 store on Ampere
- Docs
- Python not yet supported