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
- fix(entrypoints): reject stream=True and tools in BatchChatCompletionRequest
- fix(utils): advance next_port when candidate_port is in reserved DP range in get_open_port
- [KV Offloading] Back-pressure detection and remediation
- LoRA on a compressed-tensors int4 (W4A16) model: rank-32 all-layer adapters produce weak, non-reproducible outputs; rank-8 partial-coverage adapters work fine (0.17.1–0.24.0, RTX 5090)
- [Model Runner V2][Spec Decode] Add KV cache support for multi-layer MTP
- [Model] Enable Qwen3.8 for AMD Rocm
- [CUDA] Keep host registration and error drain on one runtime handle
- [Bugfix][Quantization] Reuse online NVFP4 MoE kernel across reloads
- [Bugfix][Frontend] Handle malformed InternLM2 tool output
- RFC: Kimi K3 RL support roadmap
- Docs
- Python not yet supported