Llama-3 70B Gradient Instruct 1048k: Pushing long-context language model boundaries
The Llama-3 70B Gradient Instruct 1048k model is a state-of-the-art text-based large language model from Gradient AI designed to handle extensive context lengths, extending from the traditional 8k tokens to over 1,048k tokens. This capability allows the model to perform complex reasoning and generate coherent outputs over significantly larger inputs, making it suitable for applications requiring deep understanding and context retention.
This model is designed for various applications, including but not limited to:
The Llama-3 70B Gradient Instruct 1048k model is based on the Transformer architecture, which is known for its efficiency in handling sequential data and long-range dependencies.
The model was trained on a total of approximately 430 million tokens, with 34 million tokens specifically for the final training stage. The data sources include augmented datasets from SlimPajama and UltraChat, ensuring a diverse range of contexts and styles.
The Llama-3 70B Gradient Instruct 1048k demonstrates impressive performance on common industry benchmarks, outperforming many available open-source chat models. It also showcases the potential for SOTA LLMs to learn to operate on long contexts with minimal training by appropriately adjusting RoPE theta.
The model is available on the AI/ML API platform as "gradientai/Llama-3-70B-Instruct-Gradient-1048k".
Detailed API Documentation is available on the AI/ML API website, providing comprehensive guidelines for integration.
The development of the Llama-3 70B Gradient Instruct 1048k model adheres to ethical AI principles, focusing on transparency, fairness, and accountability in its applications.
The Llama-3 70B Gradient Instruct 1048k is licensed under the Llama3 license, which allows for both commercial and non-commercial use.