poet-vicuna-13b
Maintainer: replicate
1
⚙️
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | No paper link provided |
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Model overview
poet-vicuna-13b is an instruction-tuned large language model (LLM) developed by Replicate that allows you to constrain syllable patterns in the generated text. It is based on the open-source LLaMA-13B model from Meta Research, which has been further trained on user-shared conversations collected from ShareGPT. According to the developers, poet-vicuna-13b outperforms comparable models like Stanford Alpaca and reaches 90% of the quality of OpenAI's ChatGPT and Google Bard.
Model inputs and outputs
poet-vicuna-13b takes in a variety of inputs that allow you to customize the generated text, including the prompt, the initial text to use as a template, the desired maximum length, temperature, and more. The model outputs a string of generated text that adheres to the specified syllable pattern.
Inputs
- Prompt: The text prompt to send to the model
- Init Text: Text to initialize the metric constraints with, determining the syllable pattern
- Max Length: The maximum number of tokens to generate
- Syllable Pattern: A space-delimited pattern of syllables for each line, using 0 to represent a new line
- Temperature: Adjusts the randomness of the outputs
- Repetition Penalty: Penalty for repeated words in the generated text
Outputs
- Output: The generated text that follows the specified syllable pattern
Capabilities
poet-vicuna-13b is capable of generating coherent and creative text while adhering to specific syllable patterns. This could be useful for writing poetry, song lyrics, or other forms of structured text. The model's ability to reach 90% of the quality of ChatGPT and Bard suggests it is a powerful language model that can handle a variety of tasks.
What can I use it for?
poet-vicuna-13b could be used for a variety of creative writing tasks, such as:
- Generating original poetry or song lyrics with a specific syllable structure
- Assisting in the writing of haikus, limericks, or other forms of structured verse
- Producing text for greeting cards, advertisements, or other marketing materials with a distinctive cadence
- Exploring the creative potential of constrained writing exercises
Things to try
Try experimenting with different prompts and syllable patterns to see the range of text poet-vicuna-13b can produce. You could also try using the model to generate text for a specific poetic form, such as a sonnet or a villanelle, and see how well it captures the structure and rhythm of those forms.
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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