Hermes 2 Theta Llama 3 70B
About
The Hermes-2 Theta Llama-3 70B is an advanced large language model created through the fusion of Nous Research's Hermes 2 Pro and Meta's Llama-3 Instruct models. Enhanced by Reinforcement Learning from Human Feedback (RLHF), it contains 70 billion parameters and utilizes a diverse dataset comprising web content, scientific literature, and synthetic data. With a knowledge cutoff in early 2024, the model excels in generating structured outputs, executing function calls, and handling multi-turn conversations. It showcases strong performance in various benchmarks, often surpassing GPT-4 and similar models. Despite its capabilities, it has limitations like complex prompt formats, substantial VRAM requirements, and dependency on user input quality.
