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
- [ROCm] Add AITER RoPE + KV cache fusion for MLA prefill and decode
- [Bugfix] Explain ShareGPT benchmark filtering failures when fixed output_len invalidates all requests
- [Bugfix] Add CPU profiler summary equivalent to CUDA summary
- SiLU_mul blockwise quantized fp8 kernel in Helion
- [Docs] Add vLLM CI overview documentation for contributors
- fix(harmony): run render_for_completion in thread pool to unblock event loop
- [Kernel] Add Triton reference implementation of NVFP4 GEMM
- feat: Added Dockerfile for ppc64le CUDA build
- [Perf][GDN] Fuse kkt + solve_tril kernels in chunk forward
- [Quantization] Add TurboQuant dynamic kv cache compression
- Docs
- Python not yet supported