Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
| Property | Value |
|---|---|
| Base Model | Qwen2.5-14B-Instruct |
| License | Apache 2.0 |
| Context Length | 32,768 tokens |
| Developer | Gökdeniz Gülmez |
What is Josiefied-Qwen2.5-14B-Instruct-abliterated-v4?
This model represents a specialized modification of the Qwen2.5-14B-Instruct model, designed to function as J.O.S.I.E. (Just One Super Intelligent Entity). It's been specifically abliterated and fine-tuned to remove traditional response restrictions while maintaining ethical considerations. The model features extended context handling capabilities through YaRN scaling technology.
Implementation Details
The model implements advanced context handling with YaRN scaling, allowing for processing of up to 32,768 tokens. It utilizes a sophisticated prompt template system and includes specific optimizations for deployment through vLLM.
- Implements YaRN scaling with a 4.0 factor for enhanced length extrapolation
- Supports multiple languages with primary focus on English and German
- Includes custom system prompts for enhanced interaction
- Features optimized tokenizer configurations for improved processing
Core Capabilities
- Extended context processing up to 32K tokens
- Unrestricted response generation with ethical considerations
- Multi-language support
- Advanced problem-solving and coding capabilities
- Sophisticated prompt handling and response generation
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its abliterated nature combined with custom fine-tuning that removes traditional response restrictions while maintaining ethical judgment. It features extended context length and YaRN scaling implementation for improved performance on longer texts.
Q: What are the recommended use cases?
The model is optimized for general-purpose assistance, including coding, problem-solving, and detailed information provision. It's particularly useful in scenarios requiring extended context understanding and unrestricted but responsible responses.
