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
- [CI/Build] Fix strict docs build: annotate _to_serve_args parameter
- [CI] Fix stale Buildkite source dependencies
- [XPU] Add sequence parallelism support for DeepSeek V4
- [MM][1/n] Paged shared memory storage for mm tensor ipc.
- [sharded state] enhance validation check about output arguments
- [v1][kv-transfer] Prioritize remote KV polling in scheduler
- [Bug]: MooncakeStoreConnector produces N× write amplification under DCP for MLA models
- [Bug]: cpu_offload_gb silently no-ops on Model Runner V2 — offloader never installed, model loads fully on-GPU with no warning
- [Bug]: Kimi K3 tool parser streams the raw <|close|>message<|sep|> marker into content
- [BugFix] Bind fault-tolerance DP ports before publishing them
- Docs
- Python not yet supported