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 Runner V2] batch-sharded sample
- [Feature]: Identify vLLM in the S3 client user agent, and document the S3 endpoint override
- [ROCm][CI] Add MLA decode accuracy and determinism tests
- [Kimi-K3] DCP support
- [Bugfix][ROCm] Launch KV block zeroing on a 3-D grid
- [Kimi-K3] support DCP partial prefix cache hit
- [Bug]: nvidia/NV-Embed-v2 fails to start: `_LazyConfigMapping` pickle error during engine-core subprocess spawn
- [RFC]: Per-request scheduling for MLA chunked context (prefill)
- [KVConnector][NIXL] Support packed MLA KV layouts in pipeline-parallel push prefill
- [XPU][INC] Add int4 w4a8 (dynamic int8 activation) backend for INC linear layers
- Docs
- Python not yet supported