A Game-Changing Open-Source AI Model
Artificial Intelligence (AI) is an ever-growing field that continues to revolutionize various industries. One of the most significant breakthroughs in AI is the development of large language models (LLMs). Researchers from Stanford University have released an open-source LLM called Alpaca. Alpaca is based on Meta's LLaMA model and was fine-tuned using OpenAI's GPT-3.5 API. The main aim of this open-source model is to democratize AI and make it available for everyone, for free.
What's New?
Alpaca has been further improved by training it on the GPT-4 dataset. This dataset is in the same format as Alpaca's original dataset and consists of three sets of data: General-Instruct, Roleplay-Instruct, and Toolformer. The General-Instruct dataset has approximately 20,000 examples.
Performance: Alpaca GPT-4
The Alpaca GPT-4 13B model has shown a significant improvement over the original Alpaca model and has comparable performance with a commercial GPT-4 model. This makes it one of the best open-source LLMs available.
Memory Requirements: Alpaca GPT-4
The Alpaca GPT-4 model requires a GPU with 15GB of VRAM, which is a significant requirement.
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GPT-4-x-Alpaca vs. Vicuna, GPT-4 as the judge
AI Showdown: GPT-4-x-Alpaca vs. Vicuna, GPT-4 as the judge (test in comments)
by u/imakesound- in LocalLLaMA
Discussion on performance
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