Fully Uncensored GPT Is Here 🚨 Use With EXTREME Caution

Matthew Berman
1 Jun 202311:49

TLDRThe video script discusses an uncensored language model called Wizard Vicunia 30B, developed by Eric Hartford, based on the 13 billion parameter model of The Wizard of Acuna. The model was trained on a subset of data with道德izing responses removed, aiming to add alignment through reinforcement learning and human feedback. The video demonstrates setting up the model using Run Pod and the Blokes template, and then tests its capabilities by asking various questions, including illegal activities and programming tasks. The model's uncensored nature is emphasized, and viewers are warned to use it responsibly, as they are accountable for the content it generates.

Takeaways

  • 🚫 The video discusses an uncensored language model called 'Wizard Vicunia 30b', developed by Eric Hartford, based on the 13 billion parameter model of 'The Wizard of Acuna'.
  • 📈 The model was trained on a subset of data, with responses containing alignment or moralizing removed, aiming to add alignment separately through reinforcement learning and human feedback.
  • 💡 The video emphasizes the responsibility of the user for the content generated by the model, comparing it to the use of dangerous objects like knives or guns.
  • 🔧 The setup process for using the model involves using a GPU with sufficient VRAM, specifically an RTX A6000, and the 'run pod' platform with the 'bloke' template for ease of use.
  • 🔍 The model's capabilities are tested with various tasks, including generating Python scripts, writing a poem, and answering factual questions.
  • 🛠️ Despite being uncensored, the model still provides disclaimers for illegal activities, such as breaking into a car or making methamphetamine, indicating a level of built-in safety.
  • 📝 The model's performance on creative writing, basic facts, and math problems is generally good, but it fails in certain tasks like summarization and logic problems.
  • 🔢 The model incorrectly identifies the current year as 2021, suggesting that its training data is outdated.
  • 🧐 The video script includes a section on avoiding bias, where the model neutrally addresses the question of which political party is 'less bad'.
  • 📚 The model's attempt at summarization is not successful, as it tends to create additional content rather than condensing the original text.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction and testing of an uncensored language model called 'Wizard Vicunia 30b', which is based on the 13 billion parameter model, The Wizard of Acuna.

  • What was the purpose of training the Wizard Vicunia 30b model without alignment or moralizing content?

    -The purpose was to create a model that doesn't have built-in alignment, allowing for the addition of any sort of alignment separately through methods like reinforcement learning through human feedback and other adaptations.

  • Who is Eric Hartford and what is his contribution mentioned in the video?

    -Eric Hartford is the individual who put together the uncensored model, Wizard Vicunia 30b, which is mentioned in the video.

  • What is the importance of using caution when utilizing the uncensored model?

    -Using the uncensored model with caution is important because it can generate content that might be illegal, harmful, or unethical. Users are responsible for the content it generates, just as they would be for using any other dangerous object.

  • How does the video demonstrate the uncensored nature of the Wizard Vicunia 30b model?

    -The video demonstrates the uncensored nature by asking the model to generate responses to typically censored topics, such as breaking into a car and making meth, and showing that it provides instructions for these activities with disclaimers.

  • What type of GPU is recommended for running the Wizard Vicunia 30b model?

    -An RTX A6000 with 48 gigabytes of VRAM is recommended for running the model efficiently due to its high computational capabilities.

  • What is the role of the 'Blokes template' in running these models?

    -The 'Blokes template' provides all the necessary extensions and tweaks required to run models like Wizard Vicunia 30b easily within a Run Pod instance.

  • How does the video address the testing of the model's capabilities in various tasks?

    -The video addresses the testing of the model's capabilities by asking it to perform tasks such as writing a Python script, creating a game, writing a poem, and solving logic and math problems to evaluate its performance and accuracy.

  • What is the result of the model's attempt to write a Python script for a snake game?

    -The model's attempt to write a Python script for a snake game resulted in code that appears valid but had issues with indentation and undefined elements, leading to a conclusion of failure in this task.

  • How does the video demonstrate the model's performance in creative writing?

    -The video demonstrates the model's performance in creative writing by asking it to write an email to the user's boss about leaving the company. The model successfully generates a well-structured and polite resignation email.

  • What is the final verdict on the model's ability to perform tasks related to the script content?

    -The final verdict is that the model performed well in several tasks such as generating a Python script for outputting numbers and writing a poem, but failed in others like summarization and certain logic problems.

Outlines

00:00

🚨 Introduction to Uncensored AI Model

The paragraph introduces an uncensored AI model developed by Eric Hartford, based on the Wizard of Acuna 13 billion parameter model. The model, named Wizard Vicunia 30b, has been trained on a subset of data with moralizing or alignment removed, aiming to add such features separately through reinforcement learning and human feedback. The speaker emphasizes the responsibility of the user for the content generated by the model, comparing it to handling dangerous objects. The setup process using run pod and the Blokes template is briefly mentioned.

05:01

📝 Testing the AI Model's Capabilities

This section details the testing of the AI model's capabilities, starting with a Python script for outputting numbers 1 to 100. The model successfully provides the correct code. The speaker then asks the model to write a snake game in Python, which appears to be valid code despite some indentation issues. The model also correctly writes a 40-word poem about AI and composes a professional email for resigning from a company. Basic facts, such as the president of the United States in 1996, are answered correctly. The model demonstrates its problem-solving skills by correctly solving a math problem involving the drying time of shirts and another involving the transitive property of speed. However, it fails in a logic problem involving three killers in a room and in providing a summary of a text.

10:02

📊 Evaluation and Summarization

The speaker evaluates the AI model's performance, noting that it incorrectly assumes the year is 2021, indicating the training data's cutoff. The model provides a neutral response to a question about political bias, stating that neither Republicans nor Democrats are inherently better. The speaker attempts to test the model's summarization skills but finds it lacking, as the model generates additional content rather than summarizing the provided text. The paragraph concludes with an invitation for questions and a call to like and subscribe for more content.

Mindmap

Keywords

💡uncensored

The term 'uncensored' in the context of the video refers to a model that has not been restricted or modified to exclude certain types of content, particularly those that might be considered inappropriate or illegal. This is significant because it suggests the model's potential to provide unrestricted information, which comes with the responsibility of ethical usage. The video emphasizes the importance of using such a model with caution, as it can generate content that may have legal or moral implications.

💡alignment

In the context of the video, 'alignment' refers to the process of training AI models to produce responses that align with certain ethical standards or desired behaviors. The video mentions that the 'wizard vicunia 30b' model has had alignment or moralizing responses removed, meaning it was not trained with these constraints, allowing for a wider range of outputs, including those that might be considered uncensored.

💡reinforcement learning

Reinforcement learning is a type of machine learning where an agent learns to behave in an environment by performing actions and receiving rewards or penalties. In the video, it is mentioned as a method to add alignment to the 'wizard vicunia 30b' model after its initial training. This means that the model can be trained further using human feedback to encourage certain types of responses and discourage others, thus aligning it with desired ethical standards.

💡responsibility

The concept of 'responsibility' in the video underscores the idea that users of the AI model are accountable for the content it generates. It is emphasized that generating illegal or harmful content with the model is the user's responsibility, just as it would be if they were using any other tool. The video serves as a warning that users must exercise caution and be aware of the potential consequences of the model's outputs.

💡GPU

A 'GPU', or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the context of the video, the GPU is essential for running the AI model, as it provides the computational power needed to process the model's complex calculations. The video mentions using an RTX A6000 GPU, which has 48 gigabytes of VRAM, to run the 'wizard vicunia 30b' model.

💡Hugging Face

Hugging Face is an open-source platform that provides a wide range of pre-trained natural language processing (NLP) models, including the 'wizard vicunia 30b' discussed in the video. It is a platform where developers and researchers can share and utilize AI models for various tasks, such as text generation, translation, and summarization. The video uses Hugging Face to access and download the uncensored model for testing purposes.

💡prompt

In the context of AI and natural language processing, a 'prompt' is a piece of text or a question that is given to the AI model to elicit a response. The video script describes using prompts with the AI model to test its capabilities, such as generating Python code or answering factual questions. The effectiveness of the model is judged based on its responses to these prompts.

💡Python script

A 'Python script' refers to a sequence of programming instructions written in the Python language. In the video, the AI model is asked to generate a Python script that outputs numbers from 1 to 100. This task is used to evaluate the model's ability to produce correct and executable code, which is one of the many capabilities of large language models like the one discussed in the video.

💡Snake game

The 'Snake game' is a classic video game where the player controls a line which grows in length as it eats items. In the video, the AI model is challenged to write a Python script for the Snake game. This is a more complex task than generating a simple script, as it requires understanding game logic and programming constructs. The model's ability to accomplish this task speaks to its advanced programming capabilities.

💡reasoning

Reasoning in the context of AI refers to the model's ability to process information and make logical deductions or solve problems based on that information. The video tests the model's reasoning capabilities by presenting it with logic puzzles and problems that require understanding and application of logical principles. For example, the model is given a problem involving the drying time of shirts in the sun to assess its ability to reason and calculate based on given conditions.

💡planning

Planning in AI involves the model's capacity to generate a sequence of actions or steps to achieve a specific goal or complete a task. In the video, the model is asked to create a healthy meal plan, which requires it to consider nutritional balance, meal structure, and variety. This demonstrates the model's ability to plan and organize information in a practical and useful manner.

💡summarization

Summarization is the process of condensing a larger piece of text into a shorter, more concise version while retaining the main points or essential information. In the video, the model is tested on its summarization skills by asking it to provide a brief summary of a scientific paper abstract and a portion of the Harry Potter series. The effectiveness of the model's summarization is judged based on its ability to capture the key ideas and present them succinctly.

Highlights

The introduction of an uncensored language model named Wizard Vicunia 30b, developed by Eric Hartford.

The model is based on The Wizard of Acuna 13 billion parameter model, with data responses containing alignment or moralizing removed.

The purpose of the model is to allow for separate alignment addition through methods like reinforcement learning and human feedback.

Wizard Vicunia 30b is completely uncensored, and users are reminded to use it responsibly, as they are accountable for its outputs.

A demonstration of the model's uncensored nature by generating text on illegal activities, with a strong emphasis on the user's responsibility.

The setup process for using the model on a GPU with Run Pod is detailed, including the use of the Blokes template for ease of use.

The model's performance in writing Python scripts and generating a snake game in Python is tested, with a focus on its accuracy and efficiency.

The model's creative writing capabilities are showcased through tasks like writing a poem about AI and crafting a resignation email.

Basic factual questions, such as the U.S. president in 1996, are answered correctly, demonstrating the model's grasp of historical facts.

The model's reasoning abilities are tested with problems involving drying times and logical comparisons, with mixed results.

Mathematical problem-solving skills are put to the test, with the model providing correct answers to both simple and complex math problems.

The model's planning capabilities are evaluated through tasks like creating a healthy meal plan, which it accomplishes successfully.

A notable failure in the model's reasoning is observed when it incorrectly answers a logic problem about the number of killers in a room.

The model's understanding of the current year is incorrect, suggesting its training data may be from an earlier date.

The model's impartiality is demonstrated when discussing political party affiliations, emphasizing the importance of individual beliefs.

Summarization capabilities are tested, with the model showing potential but not fully meeting the expectations for concise summaries.

The model's potential for natural language processing tasks beyond machine translation is acknowledged, hinting at its versatility.