guanaco-33b-merged
Maintainer: timdettmers
164
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| 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
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The guanaco-33b-merged is a large language model developed by timdettmers. Similar models include Guanaco, vicuna-13b-GPTQ-4bit-128g, gpt4-x-alpaca, LLaMA-7B, and Vicuna-13B-1.1-GPTQ.
Model inputs and outputs
The guanaco-33b-merged is a text-to-text model, meaning it can take text as input and generate text as output. The specific inputs and outputs are as follows:
Inputs
- Text prompts
Outputs
- Generated text
Capabilities
The guanaco-33b-merged model is capable of generating human-like text on a wide variety of topics. This can be useful for tasks such as content creation, question answering, and language translation.
What can I use it for?
The guanaco-33b-merged model can be used for a variety of applications, such as timdettmers' work. Some potential use cases include:
- Generating text for blog posts, articles, or stories
- Answering questions on a wide range of topics
- Translating text between languages
- Assisting with research and analysis by summarizing information
Things to try
With the guanaco-33b-merged model, you can experiment with different prompts and see how the model responds. For example, you could try generating text on a specific topic, or asking the model to answer questions or solve problems. The model's capabilities are quite broad, so the possibilities for experimentation are endless.
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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