Hermes-3-Llama-3.2-3B
| Property | Value |
|---|---|
| Parameters | 3 Billion |
| Base Model | Llama 3.2 |
| Developer | Nous Research |
| Paper | Hermes 3 Technical Report |
What is Hermes-3-Llama-3.2-3B?
Hermes-3-Llama-3.2-3B represents Nous Research's first venture into the 3B parameter space, offering a powerful and efficient language model built on the Llama 3.2 architecture. This model stands out for its enhanced capabilities in agentic behavior, reasoning, and multi-turn conversations, while maintaining strong performance across standard benchmarks.
Implementation Details
The model implements the ChatML format for structured interactions, enabling seamless multi-turn dialogue and system-level instruction control. It features advanced function calling capabilities and structured output generation, making it particularly suitable for practical applications. Training was conducted on H100s using LambdaLabs GPU Cloud infrastructure.
- Achieves 64.00% average score on GPT4All benchmarks
- Scores 34.36% on AGIEval tasks
- Demonstrates 43.76% average performance on BigBench challenges
Core Capabilities
- Advanced function calling with structured JSON outputs
- Multi-turn conversation handling through ChatML format
- Strong reasoning and logical deduction abilities
- Enhanced roleplaying and agentic capabilities
- Improved long context coherence
- Code generation functionality
Frequently Asked Questions
Q: What makes this model unique?
Hermes-3-Llama-3.2-3B stands out for its combination of compact size and powerful capabilities, particularly in function calling and structured outputs. It's designed to be highly steerable through system prompts while maintaining competitive performance with larger models.
Q: What are the recommended use cases?
The model excels in applications requiring structured data handling, API interactions through function calling, general assistance tasks, and scenarios demanding strong reasoning capabilities. It's particularly well-suited for developers building applications that need both natural language understanding and structured output generation.
