MobileLLaMA-1.4B-Base is a Transformer with 1.4B billon paramters. We downscale LLaMA to facilitate the off-the-shelf deployment. To make our work reproducible, all the models are trained on 1.3T tokens from the RedPajama v1 dataset only. This benefits further research by enabling controlled experiments.

We extensively assess our models on two standard natural language benchmarks, for language understanding and common sense reasoning respectively. Experimental results show that our MobileLLaMA 1.4B is on par with the most recent opensource models.

Model weights can be loaded with Hugging Face Transformers. Examples can be found at Github.

please refer to our paper in section 4.1: MobileVLM: A Fast, Strong and Open Vision Language Assistant for Mobile Devices.