| Property | Value |
|---|---|
| Parameter Count | 22.2B |
| Base Model | Mistral-Small-Instruct-2409 |
| Tensor Type | BF16 |
| Language | English |
What is Beepo-22B?
Beepo-22B is an advanced language model built upon Mistral's Small-Instruct-2409 architecture, specifically designed to provide unrestricted instruction-following capabilities while maintaining the base model's cognitive abilities. This model represents a careful balance between capability and compliance, achieved through precise fine-tuning with low learning rates and carefully curated datasets.
Implementation Details
The model employs a sophisticated fine-tuning approach that preserves the original model's intelligence while removing unnecessary restrictions. It supports both Alpaca and original Mistral instruction formats, though Alpaca is recommended for optimal performance.
- Architecture based on Mistral-Small-Instruct-2409
- Precision-optimized using BF16 tensor type
- Carefully calibrated learning rate to maintain model intelligence
- Available in GGUF quantization format
Core Capabilities
- Enhanced instruction following without requiring jailbreaks
- Maintained cognitive abilities from base model
- Dual prompt format support (Alpaca and Mistral)
- Non-judgmental, tool-like operation
- Clean instruction processing without artificial restrictions
Frequently Asked Questions
Q: What makes this model unique?
The model's key differentiator is its ability to follow instructions naturally without requiring special prompting or jailbreaks, while maintaining high-level cognitive capabilities inherited from its Mistral base.
Q: What are the recommended use cases?
The model is particularly well-suited for applications requiring straightforward instruction following, especially when using the Alpaca prompt format. It's designed to act as a reliable tool that responds directly to user inputs without unnecessary restrictions.