Llama-2 is the new open-source language model from Meta AI that outperforms other open-source language models on many benchmarks. Llama-2 builds upon the success of Llama-1 and incorporates several improvements to enhance its performance and safety. These models are designed to excel in complex reasoning tasks across various domains, making them suitable for research and commercial use. Llama-2 is trained on a large corpus of publicly available data and fine-tuned to align with human preferences, ensuring usability and safety.
The Llama2-13B-chat is a 13 billion parameter model and is pre-trained on a large corpus of text that includes conversational data, such as chat logs and social media posts. This allowed the model to learn the patterns and structures of natural language dialogue and to generate coherent and contextually appropriate responses to user input.
The Llama2-7B-chat is a 7 billion parameter model, and this is also trained on a large corpus of text that includes conversational data, but this is an even smaller and faster model.
Check out this simple code snippet to access Llama 2 models through Clarifai Python API Client.
Use our LLM Battleground module to find out.
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