what are top uncesored models for lmstudio for text to text generation

As of my last knowledge update in October 2023, several uncensored models were popular for text generation tasks, including those that could be integrated with tools like LMStudio. Here are some notable models that were commonly used:

**GPT-3 and GPT-3.5**: Developed by OpenAI, these models became prominent for their ability to generate coherent and contextually relevant text. While OpenAI's models had certain usage restrictions, different versions could be fine-tuned or accessed through various platforms.

**GPT-Neo and GPT-J**: Developed by EleutherAI, these open-source models provide capabilities similar to GPT-3 and are used widely in various applications. They are often favored for their uncensored nature and the flexibility allowed in their deployment.

**LLaMA (Large Language Model Meta AI)**: Released by Meta, LLaMA models have gained attention for their efficiency and effectiveness in text generation tasks. They are available in various sizes, providing flexibility based on the application requirements.

**BLOOM**: An open-access multilingual language model developed by BigScience, BLOOM was designed to mimic the capabilities of larger models while being accessible for research and practical applications.

**OPT (Open Pre-trained Transformer)**: Developed by Meta AI, the OPT series of models were designed as transparent alternatives to proprietary models, focusing on research and deployment ease.

**Mistral**: This model is known for its focus on performance and reliability in generating text across various applications.

**Cohere's Models**: These models offer strong capabilities for natural language processing tasks, including text generation, and have various tuning options for personalized outputs.

To ensure you have the latest details, it's always a good practice to check the official repositories, forums, or documentation for the latest advancements, models, and guidelines on their usage.