Koala (13B) is a versatile, transformer-based a dialogue LLM for academic research.
Model Name: Koala (13B)
Developer/Creator: Berkeley Artificial Intelligence Research (BAIR) Lab
Release Date: March 2023
Version: 1.0
Model Type: Transformer-based a dialogue LLM for academic research
Koala (13B) is a large language model designed for advanced natural language processing tasks, including text generation, summarization, and question answering. It leverages a transformer-based architecture to deliver high-quality, contextually relevant responses.
Koala (13B) is designed for a wide range of applications, including but not limited to:
Koala (13B) is built on a transformer architecture, specifically utilizing the GPT-3 framework. It consists of 13 billion parameters, organized into multiple layers of attention mechanisms and feed-forward neural networks, enabling it to process and generate human-like text.
The model was trained on a diverse dataset comprising:
The training dataset includes over 500 billion tokens, sourced from:
The model's knowledge is up-to-date as of September 2021.
Efforts were made to ensure diversity in the training data, but biases inherent in the source material may still be present. The model has been evaluated for biases and steps have been taken to mitigate them, though users should be aware of potential issues.
Koala (13B) demonstrates strong generalization capabilities across various topics and languages, maintaining high performance even with diverse input types.
Users are encouraged to follow ethical guidelines, including:
License Type:
Koala (13B) is released under an open-source license, allowing for both commercial and non-commercial use with proper attribution.