Llama 3.2 1B Instruct

Researchers introduced ARIADNE, a training-free routing framework for dynamic adapter selection in parameter-efficient fine-tuning ecosystems. It selects task-specialized adapters at inference time by…

A developer has released tiny-vllm, a high-performance LLM inference engine written in C++ and CUDA that serves as a smaller sibling to the vLLM project. The open-source repository includes both the f…