Hermes-2-Theta-Llama-3-8B
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Model Type | Language Model |
| License | Apache 2.0 |
| Architecture | Merged Llama-3 Architecture |
What is Hermes-2-Theta-Llama-3-8B?
Hermes-2-Theta is an experimental merged model developed by Nous Research in collaboration with Arcee. It combines Hermes 2 Pro with Meta's Llama-3 Instruct model, creating a powerful hybrid that leverages the strengths of both architectures. The model has undergone additional RLHF training to enhance its capabilities.
Implementation Details
The model implements the ChatML format for structured conversations and supports advanced features like function calling and JSON mode outputs. It can be deployed using HuggingFace Transformers and requires approximately 5GB of VRAM when running in 4-bit quantization.
- Supports system prompts for customized behavior
- Implements function calling with specific prompt templates
- Features JSON mode for structured outputs
- Compatible with text-generation-inference endpoints
Core Capabilities
- Strong performance on benchmarks (MT-Bench average: 8.19)
- Advanced reasoning capabilities (GPT4All average: 72.59)
- Structured output generation
- Multi-turn dialogue handling
- Function calling with tool integration
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its merged architecture combining Hermes 2 Pro and Llama-3, along with additional RLHF training. It offers exceptional versatility through ChatML format support, function calling capabilities, and structured output generation.
Q: What are the recommended use cases?
The model excels in conversational AI applications, structured data generation, function-calling scenarios, and complex reasoning tasks. It's particularly well-suited for applications requiring both natural language understanding and structured output generation.
