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]: MistralTokenizer object has no attribute 'get_vocab'
- [Feature]: Conditional Prompt Inclusion in `generate` Function for Streaming Efficiency
- [Misc]: vLLM v0.6.0 CUDA 12 missing wheel file
- [Usage]: Execution speed of non-Lora requests
- [Bug]: Can't load any gemma 2 model
- [misc] CUDA Time Layerwise Profiler
- [Model] tool calling support for ibm-granite/granite-20b-functioncalling
- [Feature] Add support for LLama 3.1 tool use
- [Kernel] Add prefix-caching support for phi-3-small-8k/128k model triton kernel
- [Core][VLM] Add precise multi-modal placeholder tracking
- Docs
- Python not yet supported