Which local llmodels are uncensored?

The term "uncensored" in the context of language models usually refers to models that do not have filtering or restrictions in place that would limit the type of content they can generate or respond to. However, it's essential to approach the question carefully, as uncensored models can include harmful or inappropriate content. Many open-source and local language models that are available for experimentation can be considered uncensored, depending on their architecture and the data used for training. Examples include: 1. **GPT-Neo and GPT-J**: Developed by EleutherAI, these models can be downloaded and run locally, allowing for more flexible content generation. 2. **GPT-2**: The open version of OpenAI's GPT-2 can also be operated without strict content moderation. 3. **LLaMA (Large Language Model Meta AI)**: While the availability may vary, versions of LLaMA can be run locally and might not include extensive content filtering. 4. **BLOOM**: An open-access multilingual language model developed by BigScience, which is open for local deployment. Always ensure that if you choose to run any model locally, you do so ethically and responsibly, as unrestricted models may perpetuate harmful biases or generate inappropriate content.