Hermes-3-Llama-3.1-405B
| Property | Value |
|---|---|
| Parameter Count | 405 Billion |
| Model Type | Large Language Model |
| Architecture | Llama-3.1 |
| License | Llama3 |
| Paper | Technical Report |
What is Hermes-3-Llama-3.1-405B?
Hermes-3-Llama-3.1-405B is the flagship model in the Hermes series developed by Nous Research. It represents a full parameter finetune of the Llama-3.1 405B foundation model, designed to provide advanced language understanding and generation capabilities. The model implements ChatML format and offers exceptional performance in multi-turn conversations, reasoning, and specialized tasks like function calling.
Implementation Details
The model utilizes BF16 tensor type and requires significant computational resources - over 800GB of VRAM in FP16 format. To address this, a pre-quantized FP8 version is available requiring only 430GB of VRAM. The model supports both standard inference through Hugging Face Transformers and optimized inference through VLLM.
- Supports ChatML format for structured dialogue
- Implements advanced function calling capabilities
- Offers JSON mode for structured outputs
- Compatible with various quantization methods (4-bit, 8-bit, FP8)
Core Capabilities
- Advanced agentic capabilities and reasoning
- Enhanced roleplaying abilities
- Improved multi-turn conversation handling
- Long context coherence
- Structured output generation
- Function calling with precise control
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its full parameter finetune of Llama-3.1 405B, focusing on user alignment and providing powerful steering capabilities. It demonstrates competitive or superior performance compared to Llama-3.1 Instruct models in general capabilities.
Q: What are the recommended use cases?
The model excels in generalist assistant tasks, advanced roleplaying scenarios, structured output generation through JSON mode, and complex function calling applications. It's particularly suited for applications requiring detailed reasoning and multi-turn conversations.
