huihui-ai/Qwen2.5-Coder-3B-Instruct-abliterated
The huihui-ai/Qwen2.5-Coder-3B-Instruct-abliterated is a 3.1 billion parameter instruction-tuned causal language model, derived from Qwen's Qwen2.5-Coder-3B-Instruct. This model has been ablilterated to remove refusal behaviors, making it an uncensored version optimized for coding tasks. It offers a 32768 token context length and is suitable for code generation and related programming applications without built-in content restrictions.
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Overview
This model, huihui-ai/Qwen2.5-Coder-3B-Instruct-abliterated, is a 3.1 billion parameter instruction-tuned variant of the Qwen2.5-Coder-3B-Instruct model. Its primary distinction is that it has undergone an "abliteration" process to remove refusal behaviors, effectively making it an uncensored version. This modification aims to provide developers with a more permissive tool for code-related tasks.
Key Capabilities
- Uncensored Responses: Modified to remove built-in refusal mechanisms, allowing for broader utility in code generation and instruction following.
- Code-Oriented: Based on the Qwen2.5-Coder series, indicating a strong foundation for programming and technical instructions.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for interactive coding assistance.
- Context Length: Supports a substantial context window of 32768 tokens, beneficial for handling larger codebases or complex multi-turn conversations.
Good For
- Developers seeking an instruction-following model for code generation and programming tasks without inherent content restrictions.
- Applications requiring a model that can provide direct answers or code snippets without filtering for refusal-based responses.
- Experimentation with uncensored language models in a coding context.