lit-6B
Maintainer: hakurei
63
👁️
| 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 |
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Model Overview
lit-6B is a GPT-J 6B model fine-tuned on a diverse range of light novels, erotica, and annotated literature for the purpose of generating novel-like fictional text. As described by the maintainer hakurei, the model was trained on 2GB of data and can be used for entertainment purposes and as a creative writing assistant for fiction writers.
Similar models include GPT-J 6B, a 6 billion parameter auto-regressive language model trained on The Pile dataset, and OPT-6.7B-Erebus, a 6.7 billion parameter model fine-tuned on various "adult" themed datasets. Another related model is MPT-7B-StoryWriter-65k+, a 7 billion parameter model designed for generating long-form fictional stories.
Model Inputs and Outputs
lit-6B takes in text prompts that can be annotated with tags like [ Title: The Dunwich Horror; Author: H. P. Lovecraft; Genre: Horror; Tags: 3rdperson, scary; Style: Dark ] to guide the generation towards a specific style of fiction. The model then generates new text that continues the story in the specified tone and genre.
Inputs
- Text prompts, optionally with metadata tags to indicate desired genre, style, and other attributes
Outputs
- Continuation of the input text, generating novel-like fiction in the specified style
Capabilities
lit-6B is adept at generating fictional narratives across a range of genres, from horror to romance, by leveraging the metadata annotations provided in the input prompt. The model can produce coherent and engaging passages that flow naturally from the initial text, making it a useful tool for creative writing and story development.
What Can I Use it For?
lit-6B is well-suited for various entertainment and creative writing applications. Writers can use the model as a collaborative partner to brainstorm ideas, develop characters and plot lines, or generate passages for their stories. The model's ability to adapt to different genres and styles also makes it potentially useful for interactive fiction, game development, or other narrative-driven applications.
Things to Try
One interesting aspect of lit-6B is the use of annotative prompting to guide the generation. Try experimenting with different combinations of genre, style, and other tags to see how the model's output changes. You could also try providing longer input prompts to see how the model continues and expands upon the narrative. Additionally, you may want to explore the model's capabilities in generating content for different target audiences or exploring more mature themes, while always being mindful of potential biases or limitations.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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