K2: The Game-Changing Large Language Model that's Redefining Transparency and Performance

K2, a cutting-edge large language model developed by LLM360, sets a new standard for LLM development with its transparency, performance, and robust development framework.

K2: Revolutionizing Large Language Models with Transparency and Performance

The development of large language models (LLMs) has been a significant area of research in recent years. With the introduction of K2, a cutting-edge LLM developed by LLM360 in collaboration with MBZUAI and Petuum, the landscape of LLMs is set to change. K2 boasts 65 billion parameters and is fully reproducible, making it a game-changer in the field.

“The development of K2 was a collaborative effort among several prominent institutions: MBZUAI, Petuum, and LLM360. This collaboration leveraged the expertise and resources of these organizations to create a state-of-the-art language model that stands out for its performance and transparency.” - Asif Razzaq

The transparency of K2 is a significant departure from other LLMs, which often lack transparency in their development process. By making all artifacts, including code, data, model checkpoints, and intermediate results, open-sourced and accessible to the public, K2 sets a new standard for LLM development.

K2’s architecture is designed for transparency and performance.

K2’s performance is comparable to that of the Llama 2 70B model, but with 35% less computational power required. This is a significant achievement, as it makes K2 a more efficient and environmentally friendly option.

The model was trained using diverse datasets, including dm-math, PubMed-abstracts, uspto, and others, totaling 1.3 trillion tokens. This comprehensive data mix ensured that K2 developed a broad understanding and capability across various subjects and languages.

K2’s training process involved two stages, using diverse datasets to achieve results comparable to those of the Llama 2 70B model.

LLM360 has made K2’s intermediate checkpoints available, allowing researchers and developers to track the model’s development and improvement over time. This is part of K2’s fully reproducible nature, providing transparency and facilitating further research and development.

In conclusion, K2 by LLM360 offers transparency, performance, and a robust development framework. Through open-source collaboration and comprehensive evaluation, K2 sets a new standard for LLM development, ensuring ethical practices and broad accessibility for future innovations in AI.

K2’s development framework is designed for transparency and collaboration.