Hermes-3-Llama-3.1-70B-Uncensored-GGUF
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| License | LLaMA 3.1 |
| Base Model | Guilherme34/Hermes-3-Llama-3.1-70B-Uncensored |
| Format | GGUF |
What is Hermes-3-Llama-3.1-70B-Uncensored-GGUF?
This is a specialized quantized version of the Hermes-3-Llama-3.1-70B model, optimized for efficient deployment while maintaining performance. It offers multiple quantization options ranging from 26.5GB to 75.1GB, allowing users to balance between model size and quality based on their specific needs.
Implementation Details
The model provides various quantization types, including standard and IQ (Improved Quantization) variants. Notable implementations include Q4_K_S and Q4_K_M which are recommended for their balance of speed and quality, while Q8_0 offers the highest quality at 75.1GB.
- Multiple quantization options (Q2_K through Q8_0)
- IQ variants offering better quality at similar sizes
- File sizes ranging from 26.5GB to 75.1GB
- Optimized for the GGUF format for efficient deployment
Core Capabilities
- Uncensored text generation and completion
- Efficient memory usage through various quantization options
- Compatibility with standard LLaMA ecosystems
- Optimized for conversational applications
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options, particularly the IQ variants that offer better quality than traditional quantization at similar sizes. It's built on the powerful LLaMA 3.1 architecture while maintaining uncensored capabilities.
Q: What are the recommended use cases?
The model is ideal for applications requiring powerful language understanding and generation while working within specific hardware constraints. The Q4_K_S and Q4_K_M variants are recommended for general use, while Q8_0 is best for scenarios requiring maximum quality.
