Nous Hermes LLaMA-2 (70B) API

Basic Information

• Model Name: Nous-Hermes Llama2
• Developer/Creator: Nous Research
• Model Type: Large language model (LLM)

Overview

The Nous-Hermes-Llama2-70b is a 70 billion parameter language model developed by Nous Research. It is based on the LLaMA and Llama-2 architectures and aims to offer strong performance across various natural language processing tasks.

Key Features

• Long-form responses with a low rate of hallucinations
• Trained on synthetic GPT-4 outputs and datasets like GPTeacher, roleplay, code instruct, Nous Instruct & PDACTL
• Incorporates subject-specific datasets from Camel-AI and Airoboros

Intended Use

Nous-Hermes-Llama2-70b is designed for general-purpose language tasks, with potential applications in areas like instruction following, task automation, data analysis, and text generation. Its low hallucination rate makes it suitable for use cases requiring factual accuracy.

Language Support

The model supports English, German, Spanish, and French along with other languages.

Architecture

Nous-Hermes-Llama2-70b uses the AutoModelForCausalLM architecture from the Hugging Face transformers library. It follows the LLaMA and Llama-2 model architectures, which are based on the standard Transformer decoder.

Use cases

• conversational AI agents with strong contextual understanding and reasoning
• advanced virtual assistants capable of roleplaying and multi-turn dialogues
• code generation, programming assistance, and debugging support
• generation of structured outputs and function calls for integration with external systems
• summarization, question answering, and content creation across multiple languages
• research, data annotation, and training dataset curation
• deployment on dedicated GPUs or cloud infrastructure for scalable AI services

Capabilities

• Function calling
• Streaming
• Structured outputs
• Reasoning