Educational
How to Use StableLM 2 12B Chat Model

How to Use StableLM 2 12B Chat Model

The StableLM 2 12B Chat model is a powerful 12 billion parameter instruction-tuned language model. This model leverages Direct Preference Optimization (DPO) to generate coherent and contextually relevant text. In this blog post, we will guide you through the process...

How to Fine-Tune the Phi3 Model for Function Calling

How to Fine-Tune the Phi3 Model for Function Calling

The world of AI is ever-evolving, and with it comes the need for efficient models that can drive functionality in applications. One such advancement is the fine-tuning of instruction models, specifically the Phi3 model for function calling using MLX-LM. In this...

Your Guide to Using TinyLLaVA for Image-Text Tasks

Welcome to the world of TinyLLaVA, a family of small-scale Large Multimodal Models (LMMs) that are making waves in the realm of artificial intelligence. TinyLLaVA releases models ranging from 1.4B to 3.1B parameters, and even the smallest models can outperform...

How to Document Python Functions with Ease

How to Document Python Functions with Ease

In the world of programming, clear documentation is as essential as writing clean code. This article will provide you with a step-by-step guide on how to document Python functions effectively, with practical examples and troubleshooting tips. So, grab your favorite...

How to Utilize the Japanese-TextGen-Kage-v0.1-2x7B Model

How to Utilize the Japanese-TextGen-Kage-v0.1-2x7B Model

Welcome to our comprehensive guide on harnessing the power of the Japanese-TextGen-Kage-v0.1-2x7B model! This remarkable model, whose name translates to 'Shadow' in English, exemplifies the sophisticated merging capabilities of Mergekit-Evolve and is designed to...