Everything Language Model

The Everything Language Model (LM) is an advanced Llama 2-based model that boasts a remarkable 16k context window. Developed by Totally Not An LLM, under the direction of Kai Howard, this state-of-the-art model is specifically designed to handle complex language tasks with ease, ensuring that users can achieve accurate and meaningful outputs.

Key Features of Everything LM

• Uncensored Output: One of the standout features of the Everything LM is its uncensored nature, providing users with unrestricted access to information and responses.
• Medium Context Window: With a context size of 16k, users can input longer texts or prompts, allowing for more detailed and nuanced interactions.
• Open-source Dataset: The model is trained on the EverythingLM Dataset, ensuring a diverse range of training data that enhances its performance.