Hermes-3-Llama-3.1-8B-lorablated
| Property | Value |
|---|---|
| Base Model | NousResearch/Hermes-3-Llama-3.1-8B |
| Parameter Size | 8B |
| Architecture | Llama 3.1 |
| Model Format | GGUF Available |
| Author | mlabonne |
What is Hermes-3-Llama-3.1-8B-lorablated?
Hermes-3-Llama-3.1-8B-lorablated is an innovative adaptation of the Hermes-3 model that employs lorablation technique to create an uncensored version while maintaining the core capabilities of the original model. This implementation uses a sophisticated approach combining LoRA adapter extraction and task arithmetic merging.
Implementation Details
The model is created through a two-step process: first, extracting a LoRA adapter by comparing a censored Llama 3.1 with an abliterated version, then merging this adapter with the censored Hermes-3 model using task arithmetic. The implementation uses bfloat16 dtype and maintains the original 32-layer architecture.
- Uses task arithmetic merge method
- Implements LoRA adapter with rank 64
- Maintains full 32-layer structure
- Available in GGUF format for optimized deployment
Core Capabilities
- Reduced content limitations compared to base model
- Maintains original model performance
- Efficient parameter utilization
- Compatible with standard deployment frameworks
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines lorablation techniques with the Hermes-3 architecture to create a more versatile version while maintaining the original model's capabilities. The use of task arithmetic merging and LoRA adaptation makes it particularly noteworthy in terms of implementation approach.
Q: What are the recommended use cases?
The model is suitable for applications requiring reduced content limitations while maintaining high-quality language model capabilities. It's particularly useful in research and development contexts where standard model limitations might be restrictive.
