MobiLlama: Your Compact Language Companion
Explore MobiLlama, SLM essentially a scaled-down versions of Llama, featuring 0.5 billion parameters, in contrast to LLMs that boast hundreds of billions or even trillions of parameters.
Tutorials, sample apps, and more created by the Paperspace internal research team and community
Sign up nowExplore MobiLlama, SLM essentially a scaled-down versions of Llama, featuring 0.5 billion parameters, in contrast to LLMs that boast hundreds of billions or even trillions of parameters.
Explore YOLOv9, known for the novel architecture GELAN and Reversible Network Architecture to address the unreliable gradient issue in Deep Neural Network.
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In this article, we'll explore how a CNN views and comprehends images without diving into the mathematical intricacies.
In this era of LLMs we have a new model, highly efficient and optimized. This article can be used as a guide to fine-tune Mistral-7B by utilizing Paperspace's powerful GPU A6000.
In this article we will understand the role of CUDA, and how GPU and CPU play distinct roles, to enhance performance and efficiency.
In this article, we review several notable fine-tuned language models for their capabilities as zero-shot learners on diverse tasks.
In this article we will explore TinyLlama along with a gradio demo where we will bring the model to life.
In this deep dive, we show how to work with, pretrain, and finetune MosaicML models on Paperspace 8xH100 Machines.