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]: [xPyD]Potential OOM when using v1 P2pNcclConnector as KV cache transport: KV cache accumulation on decode instance.
- [Misc] Organize NixlConnector into own directory
- [CI] Pin GitHub Actions to commit hashes in macos-smoke-test.yml
- [ROCm] aiter_unified_attn fp8 q scale refactor
- [cpu] Fix chained comparisons in static_assert breaking macOS builds
- [Usage]: for the tpye: UniformTypeKVCacheSpecs , the calc of num_blocks = available_memory // kv_cache_groups[0].kv_cache_spec.page_size_bytes, no need to divide num_layers ?
- [Doc] fix selector/label mismatch in helm chart
- [ROCM] Optmize redudent d2d copy of moe.
- [Bug Fix][CPU Profiling] Add CPU profiler summary file output on rank 0
- [Refactor] Remove dead code in kv connector and model runner
- Docs
- Python not yet supported