WizardLM-7B-Uncensored is an uncensored large language model. This model aims to provide users with more freedom in generating content without censorship. While the original WizardLM allowed for open discussions, the uncensored version takes it a step further, enabling users to express themselves without limitations.

Users who encountered issues related to NSFW (Not Safe for Work) content can now make use of a bypass prompt to access such content. OpenAI emphasizes responsible use and ethical considerations when utilizing these capabilities, as they are constantly working to strike a balance between freedom of expression and maintaining ethical boundaries.

For those looking to leverage the power of larger parameter models like the 7B, 13B, or even the highly anticipated 30B, there are options available when local hardware falls short. One cost-effective approach is utilizing online platforms such as Google Colab or rented cloud servers. These platforms offer the necessary computational resources to run inference on these massive models.

Google Colab, in particular, provides a convenient environment for running the models. However, it's important to note that running the non-quantized 30B model on Colab might require over 30GB of RAM at load time, limiting it to the expensive A100 instance. For optimized models with improved size/speed/ram trade-offs, the 4_X quantized models like GGML or GPTQ are recommended alternatives. Although specific tutorials for running quantized models on Colab might not be available, referring to Colab documentation and online resources can provide valuable guidance.

In terms of privacy and data logging, it's crucial to be aware that running models on Colab or other cloud providers is not considered private. These platforms may log or audit chat interactions, raising concerns about confidentiality. Therefore, users seeking enhanced privacy might explore self-hosted models as an alternative solution.

Users have provided positive feedback on the new WizardLM-7B-Uncensored model. Compared to its predecessors, this version excels in maintaining format and context throughout conversations, delivering an enhanced user experience. The training process and improved full context understanding contribute to more coherent responses. Additionally, the GGML q5_1 model, courtesy of the_bloke, has shown promising results, offering optimized performance in specific use cases.

Comparison with other models, such as Vicuna-13B-free by reeducator, showcases the popularity of uncensored models. Vicuna-13B-free has received significant acclaim among users as a top-tier uncensored model. Each model, however, has its own strengths and weaknesses, so it's essential to explore different options to find the best fit for individual requirements and preferences.

Some users have reported concerns regarding the speed of content generation. Slower speeds can be influenced by factors such as hardware limitations or the complexity of the generated content. When comparing the performance of the local 13B model to the current model, variations in architecture and underlying optimizations might account for differences in speed.

As the topic of censorship remains relevant, it's important to note that the release of WizardLM-7B-Uncensored offers users the opportunity to explore uncensored content generation. However, it's crucial to use such capabilities responsibly, adhering to ethical guidelines and considering the potential impact of the content being generated.

Language models are initially pre-trained on a huge corpus of mostly-unfiltered text in the target languages, then they are made into ChatLLMs by fine-tuning on a prompt dataset. The pre-training is the most expensive part by far, and if existing LLMs can't do basic sentences in your language, then one needs to start from that point by finding/scraping/making a huge dataset. One can exhaustively go through every available LLM and check its language abilities before investing in re-pre-training. There are surprisingly many of them … click here to read