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
- [Bug]: AssertFail
- [Bugfix] Fix Mamba temporal copy OOB after speculative decoding
- Fix custom allreduce warmup values
- [Quant] Manual fusion for static FP8 attention output quant
- fix(turboquant): use SDPA prefill fallback on pre-Ampere GPUs
- [Kernel] Add prepared-input fast path with MiniMax-M2 top-k/act quant fusion
- attention: pass None for unused args in unified attention TD path
- [Bug]: MiniMax M2.5 TP8EP8 gfx950 with AITER causes memory access fault
- [Render] Add `/derender` endpoints for disaggregated postprocessing
- [CI/Perf] Fix serving benchmark JSON validation
- Docs
- Python not yet supported