Nous Hermes 7B - Details

Nous Hermes 7B is a large language model developed by Nousresearch, a company specializing in advanced AI research. This model features 7b parameters, making it a powerful tool for various natural language processing tasks. While the specific licence details are not explicitly mentioned, the model is designed to support applications requiring high-performance language understanding and generation. It offers two main variants, including the 7B and 13B parameter versions, both built upon the Llama and Llama 2 frameworks, emphasizing flexibility and scalability for diverse use cases.

Hermes 2 Pro on Mistral 7B is an upgraded version of the Nous Hermes 2 model, retrained with an updated and cleaned OpenHermes 2.5 Dataset and a newly developed Function Calling and JSON Mode dataset. This model excels in Function Calling and JSON Structured Outputs, achieving 90% on function calling evaluations and 84% on structured JSON output assessments. It leverages a specialized system prompt and multi-turn function calling structure with a new chatml role to enhance reliability and ease of parsing. The development involved collaboration between Nous Research, @interstellarninja, and Fireworks.AI, focusing on improving general task performance, conversation capabilities, and specialized AI interactions. The model is part of the 7B parameter family, offering scalability and flexibility for diverse applications.

Hermes 2 Pro on Mistral 7B is a 7b parameter model with a 4k context length, placing it in the mid-scale category for parameter size and short context range. The 7b parameter count ensures resource efficiency and faster inference, making it suitable for tasks requiring moderate complexity without excessive computational demands. However, its 4k context length limits its ability to process very long texts, restricting applications that require extensive contextual understanding. This balance makes it ideal for general-purpose tasks and conversational interactions but less suited for scenarios needing extended context or highly complex reasoning.

• Parameter Size: 7b
• Context Length: 4k

Hermes 2 Pro on Mistral 7B is a versatile model with 7b parameters and a 4k context length, offering possible applications in areas like text generation, code generation, and data analysis. Its design suggests it could be used for possible tasks such as drafting documents, creating programming solutions, or extracting insights from datasets. However, these possible uses would require careful testing to ensure they align with specific requirements and constraints. The model’s architecture may support possible scenarios where efficiency and moderate complexity are prioritized, but further exploration is needed to confirm its effectiveness in these domains.

• text generation
• code generation
• data analysis

Hermes 2 Pro on Mistral 7B is a 7b parameter model with a 4k context length, which could be used for possible applications such as generating creative text, assisting with coding tasks, analyzing datasets, or supporting interactive dialogue systems. These possible uses might be suitable for scenarios requiring text generation, code development, data interpretation, or conversational interfaces, but they would need thorough testing to confirm their effectiveness. The model’s design suggests it could be possible to leverage its capabilities in areas like content creation, programming support, or data-driven insights, though each possible application would require careful validation. The 4k context length and 7b parameters make it a possible fit for tasks balancing efficiency and moderate complexity.

• text generation
• code generation
• data analysis
• conversational interfaces

Hermes 2 Pro on Mistral 7B with the medium q4 quantization offers a balanced trade-off between precision and performance, requiring a GPU with at least 16GB VRAM and a system with 32GB RAM for optimal operation. This version is designed to run efficiently on mid-range hardware, making it possible to deploy on devices with moderate computational resources. However, the 7b parameter model’s performance may vary depending on the specific workload and quantization level. The q4 variant reduces memory usage compared to higher-precision formats like fp16, while maintaining reasonable accuracy for general tasks.

• fp16
• q2
• q3
• q4
• q5
• q6
• q8

Hermes 2 Pro on Mistral 7B is a 7b parameter model with a 4k context length, designed for text generation, code generation, and data analysis tasks, while supporting multiple quantized versions like q4 for optimized performance. Its medium q4 variant balances precision and efficiency, making it possible to run on mid-range hardware with 16GB VRAM and 32GB RAM, though specific use cases require thorough evaluation.

Huggingface Model Page
Ollama Model Page