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README.md
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---
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license: apache-2.0
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datasets:
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- togethercomputer/RedPajama-Data-1T
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tags:
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- llama
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---
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# Model Summery
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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
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the models are trained on 1.3T tokens1 from the [RedPajama v1](https://www.together.ai/blog/redpajama) dataset only. This benefits further research by enabling controlled experiments.
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We extensively assess our models on two standard natural language benchmarks, for language understanding and common sense reasoning respectively. Experimental results show that our
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MobileLLaMA 1.4B is on par with the most recent opensource models.
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# Model Sources
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- Repository: https://github.com/Meituan-AutoML/MobileVLM
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- Paper: https://arxiv.org/abs/2307.09288
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# How to Get Started with the Model
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Model weights can be loaded with Hugging Face Transformers. Examples can be found at [Github](https://github.com/Meituan-AutoML/MobileVLM).
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# Datasets and Training
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For our training details, please refer to our paper in section 4.1: [MobileVLM: A Fast, Strong and Open Vision Language Assistant for Mobile Devices](https://arxiv.org/pdf/2312.16886.pdf).
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