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
- [Core][VLM] Add support for placeholder token content hashes
- [Performance]: V0.6.0 version of the model, benchmarking found that the number of successful responses accounted for half of the number of requests, which is why
- [CI/Build]: Add Bandit security check to workflow
- [Usage]: how to shutdown vllm server
- Add conditional prompt inclusion in generated output based on `is_ret…
- [Performance]: INFO 09-11 12:41:50 spec_decode_worker.py:790] SpecDecodeWorker scoring_time_ms is slow
- [Bug]: guided generation can't always finish generating the requested structure
- [Feature]: Add ray cluster start logic to vllm container for multi host inference with leaderworkerset
- [BUG]: Outline performance regression from v0.5.2 to 0.5.3
- [Feature]: Support Tools Calling For Qwen2
- Docs
- Python not yet supported