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
- [WIP] Add a metric to track request failures
- Self-Speculative Decoding using LayerSkip
- [Feature]: try to gracefully destroy process group in `vllm serve` on handling Ctrl+C (prior to processes termination)
- [Bug]: Qwen3 fails parsing reasoning content
- [Bug]: Quantization does not lead to Throughput Speedup (Please Help)
- [RFC]: Clear and stable interface for platform in vLLM
- [Bug]: Crashed when loading ggml quantized Gemma3
- [Bug]: Using GPT-OSS with the streaming option degrades the quality of responses.
- [Usage]: Custom position ids for prompts and generations
- Stats/encoder scheduled
- Docs
- Python not yet supported