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
- [Model Loader] Find safetensors shards listed in a subdirectory
- [Tests][MoE] Test bias and router weight are applied before the cast
- [Bugfix][Rust Frontend] Fix cancellation during request submission
- [ROCm][Bugfix] W4A16 dense prefill cache: count cached allocator blocks as free in the budget check
- [Perf][LoRA][MoE] Use problem-sized shrink/expand configs for MoE-LoRA batches of up to 256 tokens
- [Kernel][LoRA][MoE] Keep the MoE-LoRA shrink/expand intermediate in fp32 and round the output once
- [Perf][LoRA][MoE] Remove the small-batch fused MoE-LoRA kernel
- [ROCm] Skip RTLD_GLOBAL libtorch_cpu.so promotion when HSA_TOOLS_LIB is set
- [Quantization][MoE] Keep CSF-compressed NVFP4 expert scales resident on B12X
- [Perf][KV Offload] Speed up CPU-only Tiering startup
- Docs
- Python not yet supported