vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Pull runai_streamer non-tensor model files on every node
- [Kernel][Helion] Reset mutated inputs between benchmark repetitions
- [Bugfix] Copy packed_modules_mapping onto the instance before mutating it
- [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
- Docs
- Python not yet supported