Fine-tuning a large language model like Yi-34B can sound intimidating, but with the right guidance, you can make this process as smooth as a well-oiled machine. In this article, we'll explore the steps to fine-tune the Yi-34B model using the AEZAKMI v2 dataset,...
How to Use Minitron 8B: A Guide for Developers
Minitron is an intriguing family of small language models that stem from the advanced Nemotron-4 15B model. These models have been pruned and fine-tuned for efficiency and performance, making them suitable for research and development tasks. In this blog, we will...
How to Fine-tune Llama 3.1, Gemma 2, and Mistral 2 with Unsloth
In the vast ocean of machine learning models, fine-tuning is akin to giving a talented artist just the right brushes and colors to create their masterpiece. With Unsloth, you can fine-tune models like Llama 3.1 and Gemma 2 at an astonishing speed, consuming 70% less...
How to Use CPU-Optimized Quantizations of Meta-Llama-3.1-405B-Instruct
Welcome to your ultimate guide on using CPU-optimized quantizations of the Meta-Llama-3.1-405B-Instruct model! This article aims to provide user-friendly instructions to download and effectively utilize these quantized models, along with some troubleshooting tips....
How to Set Up and Use Llama 3 for Function Calling in Text Generation
In the world of AI, particularly in text generation and natural language processing, models like Llama 3 make things remarkably simpler and more efficient. This article will guide you through setting up and utilizing the fine-tuned function-calling features of Llama...
How to Utilize the Llama Factory Model Card
In the ever-evolving world of AI, understanding how to effectively use machine learning models is paramount. Today, we're diving into the intricacies of the Model Card for the model ID associated with the Llama Factory, a 🤗 Transformers model that has made waves in...
How to Effectively Use InternVL-14B for Vision-Language Tasks
Welcome to the captivating world of vision-language foundation models! Today we'll delve into the ins and outs of using the InternVL-14B model, which seamlessly integrates image and text data processing for a variety of tasks. Whether you're interested in zero-shot...
How to Utilize the InternViT-6B Model for Image Feature Extraction
The InternViT-6B model is an impressive vision foundation model designed to aid in various visual-linguistic tasks. In this article, we will dive into how to set up this model for image feature extraction in a user-friendly manner, including troubleshooting tips if...
How to Use Meta Llama 3.1 for Multilingual Text Generation
The Meta Llama 3.1 model is a powerful tool for text generation that excels in multilingual contexts. Designed using a sophisticated transformer architecture and optimized for dialogue, it enables developers to create engaging and responsive AI-driven chat interfaces....









