How to measure the size of artificial intelligence LLM in GB is the question we will answer in this post: Understanding the size of large language models like GPT-3.5 and GPT-4 Turbo is crucial for both AI enthusiasts and professionals. These models, known for their astonishing language processing capabilities, are often discussed in terms of their parameter count. But how do these parameters translate into actual storage size, particularly in gigabytes (GB)?
This article demystifies the process of calculating the size of these AI giants by answering the question “How big ChatGPT is ?”
Understanding Model Parameters
Before diving into calculations, it’s essential to understand what a parameter in a language model means. In the context of LLMs like OpenAI‘s GPT-3.5 and GPT-4 Turbo, a parameter is essentially a component of the model’s neural network that the AI learns from its training data. Each parameter can be thought of as a tiny piece of knowledge contributing to the model’s overall intelligence.
The Role of Bytes in Parameters
To calculate the storage size, we need to know how many bytes represent a single parameter. Typically, each parameter in these models is stored as a 32-bit floating-point number. Since 1 byte equals 8 bits, a 32-bit number would use 4 bytes (32 divided by 8).
Calculating the Size of GPT Models
Now, let’s put this into practice our GPT Size Calculator methodology.
1 Parameter = 32 bits = 4 bytes
Calculation for GPT-3.5 Turbo
Suppose GPT-3.5 has 175 billion parameters. To find out its size in bytes, we multiply the number of parameters by the size of each parameter in bytes.
Sizeinbytes = Number_of_parameters × Bytes_per_parameter
For GPT-3.5, it would be:
700,000,000,000 = 175,000,000,000 parameters × 4 bytes
The result will give us the total size in bytes. To convert bytes to gigabytes (GB), we divide the total by 1,073,741,824 (the number of bytes in a gigabyte) which means GPT-3.5 is 652 GB Large
Calculation for GPT-4 Turbo
Let’s apply this method to GPT-4 Turbo. Assuming GPT-4 Turbo has 1,776 billion parameters (that is 1.76 trillion parameters), the calculation would be:
7,104,000,000,000 = 1,776,000,000,000 parameters × 4 bytes
which means GPT-3.5 is 7,104 GB Large: a staggering 7 Terabytes (TB).
Calculating the size of LLMs like GPT-3.5 and GPT-4 Turbo in GB is straightforward once you understand the basics of parameters and bytes. This knowledge not only helps in grasping the scale of these models but also in planning for storage and computational resources.
Are you interested in learning more about AI and large language models? … Stay tuned to our blog for more insightful articles and guides on the latest in AI technology.