best abliterated uncensored models on hugging face that code well

When looking for models on Hugging Face's Model Hub that excel at coding tasks, often referred to as "coding models," you might consider several different types of models, especially those that have been fine-tuned specifically for generation, completion, or understanding of programming languages. Here are some notable ones: 1. **Codex Models**: OpenAI's Codex is one of the most advanced models for understanding and generating code. While Codex itself may not be available on Hugging Face, some derivatives or fine-tuned versions might be. 2. **GPT Models**: Models like `EleutherAI/gpt-neo` or `EleutherAI/gpt-j` are popular choices for programming tasks. They have been trained on a diverse range of internet text and can often generate coherent code snippets. 3. **CodeBERT**: This model is designed specifically for programming languages and can be fine-tuned for various tasks such as code completion, code summarization, etc. You can find it as `microsoft/CodeBERT`. 4. **GraphCodeBERT**: This is an extension of CodeBERT designed to leverage code structure. It is helpful for tasks that require understanding of both natural language and code. Look for it under `microsoft/GraphCodeBERT`. 5. **PLBART**: This model is trained for code summarization and translation tasks. You can find it as `facebook/bart-large` fine-tuned on programming tasks. 6. **CodeGen**: Models like `Salesforce/codegen-350M-multi` are designed for code generation and are capable of writing code in multiple programming languages. 7. **T5 Models**: A model like `google/t5-large` can be fine-tuned for specific programming tasks, including generating or completing code. ### Recommendations for Usage - **Task Specificity**: Choose a model based on the specific coding task (completion, translation, summarization) you're interested in. - **Environment Setup**: Ensure that you have the correct versions of libraries (like `transformers` from Hugging Face) and the appropriate hardware for running these models effectively. - **Fine-tuning**: Depending on your use case, you might want to fine-tune these models on a specific dataset related to the coding task you're interested in. Keep in mind that while many models are available for free, some privileges (like usage limits and access to certain high-performance models) may depend on the specific licenses and terms stipulated by their creators. Always check the comments and documentation on Hugging Face for the latest information and community feedback on each model.