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
- Resolve compressed-tensors support for non-divisible group_sizes
- [Spec Decode] Add hidden states extraction system
- [WideEP] Fix nvfp4 DeepEP High Throughput All2All backend
- [CI][AMD][BugFix][P/D] Add default_vllm_config to test_moriio_connector.py so tests pass
- [Model][Spec Decode] Nemotron-H MTP and Mamba Speculative Decoding Support
- [EC Connector] SHMConnector: Share Memory based EC Connector
- Added latency and throughput benchmark for beam search
- [Hybrid] Enable spec decoding in mamba cache align mode
- [Hybrid] Fix and optimize block-aligned splitting in mamba cache align mode
- [Doc]: Update CPU image docs to use Docker Hub after 0.16.0 release
- Docs
- Python not yet supported