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
- [Feature]: Support `include_reasoning` request parameter for non-harmony models
- [Feature]: Implement `get_kv_cache_stride_order` for all classes
- [Usage]: how to serve quantized Qwen3-Reranker-8B
- Pass modality information in embed_multimodal
- [Bug]: GLM47 Tool Call Bug
- fix nixl connector num blocks check logic
- Add test for Nemotron Nano with LoRA adapters
- [Feature]: GPU Memory Snapshotting to reduce cold starts
- [Bugfix] Fix mamba cache mode null-block padding
- [Tracking issue]: Issue Tracker for Qwen/Qwen3-VL-Embedding & Qwen/Qwen3-VL-Reranker
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- Python not yet supported