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
- [Usage]: How to use tensorizer to load models from S3 with vLLM
- [Bug]: OpenAI tool call crashes when parameter description contains parentheses with examples (e.g. "(e.g. ls -la)")
- [Bug]: openai/gpt-oss-120b resolved architecture Qwen3ForCausalLM
- [Bug]: FlashInfer error when running vLLM throughput bench on B200
- [Bug]: gpt-oss-20b streaming last reasoning content part into content
- [Feature]: Add dedicated tool parser for Qwen2.5-Coder models
- [Feature]: Integrate layerwise reloading with other vLLM loading features
- Bump actions/setup-python from 6.1.0 to 6.2.0
- Bump actions/checkout from 6.0.1 to 6.0.2
- [Bug]: vllm Requests stuck indefinitely
- Docs
- Python not yet supported