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] Explain entry-point registration and checkpoint-driven selection for OOT quantization
- [Kimi K3] Add EPLB support
- [Model][Kimi K3] Project DSpark aux states before SP all-gather
- [Kernel][Kimi K3] Fuse mixed-batch KDA boundary operations
- [Bugfix] Fix MoRIIO pending ACK resource exhaustion vulnerability
- [Bugfix][Parser] Preserve token IDs in non-streaming engine parsing
- [Bugfix][Benchmarks] Count tokens, not chunks, in peak output throughput
- Hybrid multi-group KV: _update_requests_with_invalid_blocks crashes (too many values to unpack) on connector load-error blocks
- [Bug]: gfx1100 (RDNA3): first-call non-determinism + long-seq corruption from Triton paged-attention fallback (ROCm 7.14)
- [Bugfix] Honour VLLM_MQ_MAX_CHUNK_BYTES_MB at every MessageQueue call site
- Docs
- Python not yet supported