OPT-30B-Erebus
Maintainer: KoboldAI
58
👨🏫
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
The OPT-30B-Erebus model is the second generation of the original Shinen model created by Mr. Seeker. This large language model was trained by KoboldAI on a dataset spanning six different sources, all focused on "adult" themes. The name "Erebus" is drawn from Greek mythology, representing "darkness", aligning with the "deep abyss" meaning of Shin'en. Similar large models in this family include the OPT-13B-Erebus and OPT-6.7B-Erebus.
Model inputs and outputs
The OPT-30B-Erebus model is a text-to-text transformer that can be used for various language generation tasks. It takes text prompts as input and generates corresponding text outputs.
Inputs
- Text prompts of varying lengths
Outputs
- Coherent, human-like text continuations and completions based on the input prompts
Capabilities
The OPT-30B-Erebus model demonstrates strong language generation capabilities, able to produce detailed and contextually relevant text outputs. However, as a model trained on adult-themed data, it has a strong bias towards generating NSFW content, and is not suitable for use by minors.
What can I use it for?
Given its specialized training data, the OPT-30B-Erebus model would be most applicable for tasks involving adult-themed creative writing, erotica generation, or other applications requiring uncensored text output. Users should exercise caution and responsibility when using this model, as the content it generates may be inappropriate or offensive in many contexts.
Things to try
Experiment with providing the model with different types of prompts to see the range of responses it can generate. Try steering the model towards more tasteful or tame outputs by carefully crafting your prompts. However, be mindful that the model's strong bias towards NSFW content may be difficult to overcome completely.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🤷
OPT-13B-Erebus
208
The OPT-13B-Erebus model is a large language model developed by KoboldAI, a community of AI enthusiasts. It is the second generation of the original "Shinen" model created by Mr. Seeker. The model was trained on a diverse dataset of adult-themed stories and narratives, spanning sources like Literotica, Sexstories, and SoFurry. This model is intended for mature audiences only, as it will generate X-rated content. Compared to similar models like GPT-Neo 2.7B, GPT-J 6B, and OPT-66B, the OPT-13B-Erebus model is smaller in scale but specializes in an adult-focused domain. Like other large language models, it uses transformer architecture and is trained on a massive amount of natural language data. Model inputs and outputs Inputs Textual prompts**: The model takes in textual prompts as input, which it uses to generate new text. Outputs Generated text**: The primary output of the OPT-13B-Erebus model is new text, generated based on the provided prompt. The generated text will be in line with the adult-themed dataset the model was trained on. Capabilities The OPT-13B-Erebus model excels at generating explicit, adult-oriented content. It can be used to create detailed, immersive narratives and stories within the "Adult" genre. The model's strong bias towards this type of content makes it unsuitable for general-purpose use, but it could be valuable for specialized applications where mature themes are appropriate. What can I use it for? The OPT-13B-Erebus model could be used for the creation of adult-themed stories, erotica, and other related content. This could include writing commissions, collaborative worldbuilding, or the generation of prompts for artistic endeavors. However, given the model's mature focus, it should only be used in appropriate contexts and with a clear understanding of the potential risks and limitations. Things to try One interesting thing to explore with the OPT-13B-Erebus model is its ability to generate cohesive, long-form narratives within the adult genre. Providing the model with detailed prompts or story starters could result in surprising and creative plot developments. Additionally, experimenting with different prompting techniques, such as using genre tags or character descriptions, could yield unique and compelling results.
Updated Invalid Date
🔄
OPT-6.7B-Erebus
92
The OPT-6.7B-Erebus is a large language model developed by KoboldAI. It is the second generation of the original Shinen model, trained on a dataset consisting of 6 different sources surrounding "Adult" themes. The name "Erebus" comes from Greek mythology, representing "darkness" - similar to the original Shin'en, or "deep abyss". This model is similar to other large OPT models like the OPT-13B-Erebus and GPT-NeoX-20B-Erebus, which were also developed by KoboldAI and trained on adult-themed datasets. However, the OPT-6.7B-Erebus has a smaller parameter count than these other Erebus models. Model Inputs and Outputs Inputs Text prompts for text generation Outputs Continuation of the input text, generated in an autoregressive manner Capabilities The OPT-6.7B-Erebus model is capable of generating coherent, adult-themed text based on provided prompts. It can produce narratives, descriptions, and dialogue in a variety of adult genres and styles. However, as the model was trained on an explicit dataset, the generated output will reflect this bias and may not be suitable for all audiences. What Can I Use It For? The OPT-6.7B-Erebus model could be used for creative writing projects, erotica, or other adult-oriented content generation. However, it's important to be aware of the model's biases and limitations, and to use it responsibly. The model should not be deployed in public-facing applications without proper moderation and filtering. Things to Try You could try providing the model with different types of adult-themed prompts, such as romance, erotica, or sensual descriptions, and see how the model responds. You could also experiment with altering the generation parameters, like temperature or top-k sampling, to adjust the style and content of the generated text. Just be mindful of the model's limitations and inappropriate outputs.
Updated Invalid Date
↗️
GPT-NeoX-20B-Erebus
82
GPT-NeoX-20B-Erebus is a powerful 20 billion parameter autoregressive language model developed by KoboldAI. It is the second generation of the original Shinen model, with the "Erebus" name derived from Greek mythology, meaning "darkness" or "deep abyss". This model was trained on a diverse dataset of over 800GB of text, including sources like Literotica, Sexstories, and private datasets of adult-themed content. Similar models include the OPT 13B - Erebus and the GPT-Neo 2.7B, both of which share the "Erebus" theme and focus on adult-oriented content. These models demonstrate the range of large language models developed by the AI research community to serve specialized use cases. Model inputs and outputs Inputs Textual prompts of varying lengths, used to initialize the model and guide the generation of output text. Outputs Coherent, contextually-relevant text that continues the provided prompt, with a strong bias towards generating adult-themed content. Capabilities GPT-NeoX-20B-Erebus is a highly capable text generation model, able to fluently continue prompts and generate natural-sounding narratives. However, its specialized training dataset means it is most adept at producing content with mature or explicit themes. This model should be used with caution, as it may generate biased or offensive text, even when prompted with neutral input. What can I use it for? Given its specialization in adult-oriented content, GPT-NeoX-20B-Erebus would be most suitable for projects involving erotic fiction, erotica, or other forms of mature creative writing. It could potentially be fine-tuned for use in virtual assistant chatbots or interactive fiction, though great care would need to be taken to filter and moderate its outputs. Things to try One interesting experiment would be to prompt the model with neutral or mundane text, and observe how it steers the narrative in a more adult direction. This could provide insight into the biases and patterns learned during its training on explicit datasets. However, the results of such experiments should be carefully reviewed, as the model may generate content that is inappropriate or offensive.
Updated Invalid Date
❗
opt-30b
133
The opt-30b model is a large open-pretrained transformer language model developed by Facebook. It is part of the Open Pre-trained Transformer (OPT) suite, which ranges from 125M to 175B parameters. The opt-30b model was trained to roughly match the performance and sizes of the GPT-3 class of models, while applying the latest best practices in data collection and efficient training. This aims to enable reproducible and responsible research at scale, and bring more voices to the study of the impact of large language models. The OPT models, including opt-30b, are decoder-only models similar to GPT-3. They were predominantly pretrained on English text, with a small amount of non-English data from CommonCrawl. The models were trained using a causal language modeling (CLM) objective. Model inputs and outputs Inputs Text prompts that the model can continue or generate from, similar to GPT-3. Outputs Continued text that the model generates based on the input prompt. Capabilities The opt-30b model is capable of generating coherent and fluent text continuations based on the provided prompts. It exhibits strong language modeling abilities, allowing it to understand context and produce relevant and grammatically correct outputs. The model can be used for a variety of text generation tasks, such as story writing, dialogue systems, and content creation. What can I use it for? The opt-30b model, like other large language models, can be used for a wide range of text-based tasks. Some potential use cases include: Content Generation**: The model can be used to generate news articles, blog posts, product descriptions, and other types of written content. Dialogue Systems**: The model can be fine-tuned to engage in more natural conversations, making it useful for chatbots and virtual assistants. Creative Writing**: The model can be used to assist in the creative writing process, helping to generate ideas, plot points, and even entire stories. Summarization**: The model can be used to summarize long passages of text, extracting the key points and ideas. Things to try One interesting aspect of the opt-30b model is its potential to generate diverse and creative text outputs. By providing the model with different types of prompts, you can explore its ability to adapt to various writing styles and genres. For example, you could try giving it prompts that start with a particular narrative voice or tone, and see how the model continues the story. Alternatively, you could provide the model with abstract or conceptual prompts and observe the ideas and associations it generates. Another avenue to explore is the model's ability to maintain coherence and logical reasoning over long-form text generation. By giving the model prompts that require sustained narrative or argumentation, you can assess its capacity for maintaining a consistent and compelling storyline or line of reasoning.
Updated Invalid Date