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]: Add P/D disaggregation deployment on Ray
- FlashInfer-Bench Integration for vLLM
- [Bug]: GLM-4.5 reasoning parser streaming fails without tools in request - missing as_list() conversion
- [Feature]: Model Generation Monitoring and Intervention (including 1. request-level thinking budget control as supported in Qwen/Claude APIs 2. repetition detection and truncation)
- [Bug]: vllm with lmcache crashes on semi-large number of parallel queries
- [Model loading error]: quantized version of Llama-3.2-11B-Vision-Instruct
- [Usage]: Is there a way to inject the grammar into the docker directly
- [Feature]: include reasoning tokens in /v1/messages Anthropic endpoint if model supports it
- [Bug]: set bias=False for weights_proj in deepseek_v2
- [CI Failure]: deepseek-ai/deepseek-vl2-tiny `CUBLAS_STATUS_EXECUTION_FAILED`
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