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Introduction

Nous Hermes 70B Chatbot

Nous Hermes 70B is a cutting-edge language model fine-tuned by Nous Research. This state-of-the-art model is built upon the GPT-4 architecture and is designed to excel in various natural language understanding and generation tasks. Whether you need assistance with creative text generation or complex instruction comprehension, Nous Hermes 70B is here to help.

Model Overview

  • Model Name: Nous Hermes 70B
  • Repository: nousresearch/nous-hermes-llama2-70b
  • Last Updated: October 20
  • Context Size: 4,096 tokens
  • Pricing: $0.90 per 1 million input and output tokens

Nous Hermes 70B is a result of collaborative efforts, with Teknium and Emozilla leading the fine-tuning process, Pygmalion sponsoring the compute, and contributions from various collaborators.

Key Features

  1. Long Responses: This model is known for providing comprehensive and detailed responses to your queries, making it suitable for tasks that require in-depth explanations.

  2. Lower Hallucination Rate: Hallucination refers to the generation of incorrect or fabricated information. Nous Hermes 70B excels in minimizing such errors, ensuring more accurate and reliable responses.

  3. No OpenAI Censorship Mechanisms: Unlike some other models, this version of Hermes does not have OpenAI's censorship mechanisms in its synthetic training data, providing a more open and unrestricted conversational experience.

  4. High-Quality Knowledge: The model's training data includes a diverse range of sources, leading to high-quality knowledge, task completion, and stylistic capabilities.

Model Training

Nous Hermes 70B has been fine-tuned on a rich dataset comprising over 300,000 instructions. The training data includes high-quality GPT-4 outputs from various sources, such as GPTeacher, roleplay datasets, code instruction datasets, Nous Instruct & PDACTL, and more.

Collaborators from Teknium, Karan4D, Emozilla, Huemin Art, and Pygmalion AI have contributed to the fine-tuning process, ensuring the model's excellence.

Benchmark Performance

To assess the model's performance, various benchmark suites were used:

GPT4All Suite:

  • ARC Challenge: Accuracy: 57.34%
  • ARC Easy: Accuracy: 84.22%
  • BoolQ: Accuracy: 84.22%
  • HellaSwag: Accuracy: 65.19%
  • OpenBookQA: Accuracy: 38.80%
  • PIQA: Accuracy: 83.13%
  • Winograd Schema Challenge: Accuracy: 77.51%

BigBench Suite:

  • The model demonstrated competitive performance across a range of tasks, including causal judgment, date understanding, logical deduction, movie recommendation, and more.

AGIEval:

  • The model achieved varying levels of accuracy across different AGIEval tasks, demonstrating its versatility.

Resources for Applied Use Cases

  • If you prefer a chat-style interface, you can explore the model's capabilities on LM Studio.
  • For a practical example of a chatbot using Hugging Face Transformers and Discord, check out the Alpaca Discord Chatbot.
  • If you're interested in role-playing chatbots, you can explore the Alpaca Roleplay Discord Bot.

Future Plans

The development team behind Nous Hermes 70B has ambitious plans for the future. They intend to continue refining the model by incorporating more high-quality data and implementing advanced data filtering techniques to eliminate lower-quality information.

How to Use Nous Hermes 70B

You can access and utilize the Nous Hermes 70B model through the Hugging Face platform. Whether you need assistance with natural language understanding tasks, creative text generation, or any other language-related tasks, Nous Hermes 70B is at your service.

To get started, visit the Hugging Face model page and explore the model's capabilities. You can use it for a wide range of applications, from chatbots to content generation and more.

Give Nous Hermes 70B a try and experience the power of state-of-the-art natural language processing in your projects and applications!

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