OPT-6.7B-Erebus
| Property | Value |
|---|---|
| Base Architecture | OPT-6.7B |
| License | OPT-175B License |
| Paper | arXiv:2205.01068 |
| Framework | PyTorch |
What is OPT-6.7B-Erebus?
OPT-6.7B-Erebus is a specialized language model built on Meta's OPT architecture, developed by KoboldAI. It represents the second generation of the Shinen series, specifically fine-tuned on adult-themed content from six distinct sources. The model's name derives from Greek mythology, where Erebus represents darkness, complementing its predecessor's theme of "deep abyss".
Implementation Details
The model is implemented using the Transformers framework and PyTorch backend. It can be easily integrated into applications using the Hugging Face pipeline API for text generation tasks. The model incorporates specialized genre tagging using the format [Genre: comma-separated list of genres] and has been optimized for generating contextually appropriate responses within its domain.
- Built on Meta's OPT-6.7B architecture
- Implements transformer-based text generation
- Supports standard text generation pipeline integration
- Includes specialized genre tagging system
Core Capabilities
- Advanced text generation with domain-specific knowledge
- Genre-aware content generation
- Context-sensitive response generation
- Support for both creative and interactive text applications
Frequently Asked Questions
Q: What makes this model unique?
This model is unique in its specialized training on carefully curated content from six different sources, including Literotica (4.5/5+ rated), Sexstories (90+ rated), and other specialized collections. It implements a specific genre tagging system and builds upon the established OPT architecture.
Q: What are the recommended use cases?
Due to its specific training focus, this model is strictly intended for adult-only applications. It includes strong content warnings and is not suitable for general-purpose text generation or applications accessible to minors.
