OopsHusBot-3B
| Property | Value |
|---|---|
| Base Model | meta-llama/Llama-3.2-3B-Instruct |
| Developer | Alpha AI |
| License | Apache-2.0 |
| Format | GGUF (Optimized for local deployments) |
| Quantization Options | q4_k_m, q5_k_m, q8_0, 16-bit |
What is OopsHusBot-3B?
OopsHusBot-3B is a specialized language model fine-tuned from LLaMA-3.2-3B-Instruct, specifically designed to assist with relationship communication challenges. Developed by Alpha AI using Unsloth and Hugging Face's TRL library, this model focuses on helping users navigate complex interpersonal dialogues, particularly in romantic relationships.
Implementation Details
The model leverages advanced training techniques with Unsloth for 2x faster training speed while maintaining high-quality outputs. It implements multiple specialized modes including Auto-Smooth Talk, Oops Recovery Mode, and Danger Phrase Decoder, all optimized for real-world relationship scenarios.
- Training Framework: Unsloth with TRL library integration
- Architecture: LLaMA-based 3B parameter model
- Optimization: Local deployment-ready with GGUF format
- Multiple quantization options for different performance needs
Core Capabilities
- Auto-Smooth Talk: Generates natural, context-aware responses
- Oops Recovery Mode: Immediate communication repair strategies
- Danger Phrase Decoder: Context-sensitive phrase interpretation
- Anniversary & Birthday Reminder System
- Pre-Apology Generation
- Selective Hearing Correction Algorithms
Frequently Asked Questions
Q: What makes this model unique?
OopsHusBot-3B stands out through its specialized focus on relationship communication, featuring unique capabilities like danger phrase interpretation and automatic response optimization for sensitive conversations. The model combines technical sophistication with practical relationship psychology.
Q: What are the recommended use cases?
The model excels in scenarios including conflict de-escalation, thoughtful response generation, emotional message interpretation, and relationship maintenance communication. It's particularly effective for generating appropriate responses in potentially sensitive situations and helping users navigate complex relationship dynamics.
