Beepo-22B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 22.2B |
| Model Type | GGUF Quantized Language Model |
| Base Model | Mistral-Small-Instruct-2409 |
| Language | English |
What is Beepo-22B-GGUF?
Beepo-22B-GGUF is a quantized version of the Beepo-22B model, built upon Mistral-Small-Instruct-2409. This model stands out for its careful optimization that preserves the base model's intelligence while introducing enhanced instruction-following capabilities and Alpaca prompt format support.
Implementation Details
The model employs a low learning rate during fine-tuning and uses a heavily pruned dataset to maintain the original model's cognitive abilities. It's specifically designed to work with KoboldCpp for deployment and inference.
- GGUF quantization for efficient deployment
- Preserved base model intelligence through careful fine-tuning
- Compatible with both Alpaca and Mistral instruct formats
- Enhanced instruction-following capabilities
Core Capabilities
- Direct instruction following without requiring jailbreaks
- Dual prompt format support (Alpaca and Mistral)
- Efficient resource utilization through GGUF quantization
- Non-judgmental, tool-like response generation
Frequently Asked Questions
Q: What makes this model unique?
The model's key distinction lies in its enhanced instruction-following capabilities without sacrificing the base model's intelligence, combined with support for the Alpaca prompt format and efficient GGUF quantization.
Q: What are the recommended use cases?
The model is particularly suited for conversational AI applications where direct instruction following is crucial, and where deployment efficiency through GGUF quantization is desired.
