So Meta AI Releases Cod Lama 70 Billion Model: The Largest and Best Performing Language Model in the Cod Lama Family
Meta AI has recently unveiled their latest addition to the Cod Lama series of models – the Cod Lama 70 billion model. This new model is the largest and most powerful language model in the Cod Lama family, and it has the ability to outperform gp4 on coding related tasks. In this article, we will explore the features and capabilities of the Cod Lama 70 billion model and how it compares to other models in the market.
Introduction to Cod Lama 70 Billion Model
The Cod Lama 70 billion model is available in three different versions. The first version is the foundational model, which can be further fine-tuned for specific tasks. There is also a specialized version for Python programming, as well as an instruct version that is fine-tuned for understanding natural language instructions.
Built on Top of Lama 2
The Cod Lama series of models are not a new architecture, but rather built on top of Lama 2. According to Meta, in their benchmark testing, Cod Lama outperforms state-of-the-art publicly available language models on code-related tasks, which is a remarkable achievement when compared to gp4.
Impressive Performance
The original gp4 model, released by OpenAI, had a score of 67.0 on the human evolve dataset – a popular benchmark for programming. In comparison, the Cod Lama 70 billion model achieves a human evolve test score of 77.0, which is substantially higher than any other open source large language model available. It’s also higher than the score reported by gp4. However, it’s important to note that this score is for the original version of gp4, and we don’t know the human evolve scores for the latest version of gp4.
Usage and Licensing
The Cod Lama 70 billion model is released under the same license as Lama 2, which means it can be used for both research and commercial purposes. To access the model from Meta, you will need to fill out a request access form. Alternatively, the model is already available in the hugging pH format, and a quantized version may be available soon.
Training Process
All Cod Lama models are based on the Lama 2 architecture and are trained for 500 billion tokens. For the 70 billion parameter versions, an additional 500 billion tokens are used. The Python version uses a dataset of 100 billion tokens for super fed fine-tuning. The instruct fine-tune version, designed for a longer context window of 16,000 tokens, uses an additional 20 billion tokens. The base version, on the other hand, only uses 20 billion tokens.
Running Cod Lama 70 Billion Model Locally
To run the Cod Lama 70 billion model locally, you will first need to download Olama from the website. The installation process differs depending on your operating system. Once installed, you can use the “run code Lama 70 bill” command to start running the model. There are also different quantization levels available for the model, allowing you to choose the specific version that suits your needs.
Demonstration
In a demonstration, the Cod Lama 70 billion model was asked to write a function that outputs the Fibonacci sequence and to write HTML code for a web page with a button that changes the background color and displays a random joke when clicked. The model successfully generated the desired outputs, showcasing its abilities.
Future Comparisons
The presenter of the video expressed excitement about the progress made with the Cod Lama 70 billion model and mentioned plans to do a comprehensive comparison between this model and gp4 in the future. This comparison will explore their performance on coding-related tasks, as the Cod Lama 70 billion model is said to be on par with gp4.
Overall, the release of the Cod Lama 70 billion model marks a significant milestone in the field of large language models. Its impressive performance and capabilities make it a valuable tool for developers and researchers alike. As Meta AI continues to innovate and push the boundaries of AI technology, we can expect even more advancements in the future.
