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
- [RFC]: Progressive block handoff for NIXL Push
- [Bugfix][Tokenizer] Avoid retaining pool overflow copies
- [Bugfix][Model] Keep embedding modality through the Qwen3-Omni deepstack split
- [RFC]: PCP-Sharded O-Projection Weights
- [CI/Build] Add PPL test for Gemma-4
- [Bug]: MedGemma 27B model: Repetitive newline-token generation loop
- [Spec Decode] Support Qwen3-VL DSpARK
- [Bugfix] Guard completion logprobs when sampled token missing from top logprobs
- Silent CUDA IMA (exit 0) in hybrid GDN + MTP k=3 + async scheduling on RTX 3090; persists through #50021/#45100/#53613-class fixes
- [Feature]: Rust frontend: /v1/embeddings endpoint
- Docs
- Python not yet supported