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
- [Bug]: Mismatch in the number of image tokens and placeholders during batch inference
- [Usage]: how to use guided_decoding_backend?
- [Feature]: Please Support FATRelu
- [Usage, bug]: vLLM Docker | ValueError: OpenTelemetry packages must be installed before configuring 'otlp_traces_endpoint' during vLLM startup
- [Performance]: vllm量化和非量化的性能对比
- [Misc]: how to add tests for new backends?
- [Feature]: Pipeline Parallelism support for the Vision Language Models
- [Feature]: Overlap model weight loading and model prefill
- [RFC]: Add Ascend NPU as a new backend
- [Bug]: Inconsistent Output Behavior with and without tools and tool_choice Parameters
- Docs
- Python not yet supported