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]: Tensor parallelism fails to configure correctly when using MIG instances
- [Doc]: Bump up TensorRT-LLM version to 24.07 for comparison
- [Feature]: Align the API with OAI's structured output
- [Bug]: Unhandled tool invocations with Llama 3.1 using LangChain and OpenAI-compatible API
- [Feature]: Support to use draft models with different vocabulary sizes for speculative decoding
- [Performance][Core] Optimize the performance of evictor v1 and v2 by applying a priority queue and lazy deletion
- [Model] Adding Support for FLUTE Quantization
- [Bug]: Vllm crashes with asyncio.exceptions.CancelledError
- [New Model]: mistral-large
- [Bug]: Error when running fp8 quantization on LoRA adapters model
- Docs
- Python not yet supported