Nous Hermes 13B - Details

Nous Hermes 13B, developed by Nousresearch, is a large language model with 13 billion parameters. As a company-driven project, it offers two main variants, 7B and 13B, based on Llama and Llama 2. The model is designed for versatility in applications ranging from research to practical deployment.

Nous Hermes 13B, developed by Nous Research, is a state-of-the-art language model fine-tuned on over 300,000 instructions. It rivals GPT-3.5-turbo in performance, offering long responses, a low hallucination rate, and no OpenAI censorship. Trained on synthetic GPT-4 outputs with a 2000 sequence length, it leverages 8x A100 80GB DGX hardware for over 50 hours. Contributions from Teknium, Karan4D, Redmond AI, and others enhance its capabilities, making it a versatile and powerful tool for diverse applications.

Nous Hermes 13B has 13b parameters, placing it in the mid-scale category for open-source LLMs, offering balanced performance for moderate complexity tasks. Its 1k context length falls into the short context range, making it suitable for concise interactions but limiting its ability to handle extended texts. The model’s design prioritizes efficiency and practicality, avoiding the resource demands of larger parameter counts or longer context lengths.

• Name: Nous Hermes 13B
• Parameter_Size: 13b
• Context_Length: 1k
• Implications: Mid-scale for moderate complexity, short context for limited long texts.

Nous Hermes 13B is a versatile model with potential applications in generating creative text, understanding and following complex instructions, and handling language tasks. Its design suggests possible uses in areas like content creation, where imaginative writing or storytelling could benefit from its capabilities. It might also serve as a tool for tasks requiring precise interpretation of detailed guidelines, though this would need further testing. Language-related activities, such as translation or text analysis, could be another possible application, though the model’s performance in these scenarios remains to be fully explored. The model’s parameters and training data support its ability to process and generate text, but these possible uses require careful evaluation to ensure they align with specific needs.

• Name: Nous Hermes 13B
• Possible Uses: generating creative text, understanding and following complex instructions, language tasks

Nous Hermes 13B is a versatile model with possible applications in generating creative text, understanding and following complex instructions, and handling language tasks. Its design suggests possible uses in areas like content creation, where imaginative writing or storytelling could benefit from its capabilities. It might also serve as a tool for tasks requiring precise interpretation of detailed guidelines, though this would need further testing. Language-related activities, such as translation or text analysis, could be another possible application, though the model’s performance in these scenarios remains to be fully explored. The model’s parameters and training data support its ability to process and generate text, but these possible uses require careful evaluation to ensure they align with specific needs.

• Name: Nous Hermes 13B
• Possible Applications: generating creative text, understanding and following complex instructions, language tasks

Nous Hermes 13B’s medium q4 version is optimized for a balance between precision and performance, requiring hardware capable of handling 13B parameters with reduced memory usage. This version likely needs at least 16GB–24GB VRAM, depending on system configuration, making it suitable for mid-range GPUs. While not explicitly detailed in the hints, the q4 quantization would lower VRAM demands compared to full-precision models, enabling deployment on systems with moderate resources. Users should evaluate their hardware against these requirements to ensure compatibility.

• Quantized Versions: fp16, q2, q3, q4, q5, q6, q8

Nous Hermes 13B is a mid-scale large language model with 13 billion parameters and a 1k context length, designed for balanced performance in complex tasks. It offers potential applications in creative text generation, instruction following, and language tasks, though further evaluation is needed for specific use cases.

Huggingface Model Page
Ollama Model Page