Hugging Face Overview
Model Overview
huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated is a 32.8 billion parameter model based on the Qwen2.5-Coder-32B-Instruct architecture. This version has undergone an "abliteration" process to remove censorship, making it an uncensored variant of the original model. It is part of a series of uncensored Qwen2.5-Coder models, available in various sizes from 0.5B to 32B parameters.
Key Capabilities
- Uncensored Code Generation: Provides responses without the censorship present in the base Qwen2.5-Coder models, potentially offering more direct or unrestricted outputs for coding-related queries.
- Instruction Following: Designed to follow instructions effectively, making it suitable for interactive coding assistance and task execution.
- Developer-Focused: Optimized for use in development workflows, particularly for code generation and related programming tasks.
Usage and Deployment
This model can be easily integrated into applications using the Hugging Face transformers library, with provided Python code examples for loading and interacting with the model. It is also available for direct use via Ollama, simplifying local deployment and experimentation.