vicuna-13b-GPTQ-4bit-128g
Maintainer: anon8231489123
666
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| Property | Value |
|---|---|
| Model Link | View 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
The vicuna-13b-GPTQ-4bit-128g model is a text-to-text AI model developed by the creator anon8231489123. It is similar to other large language models like the gpt4-x-alpaca-13b-native-4bit-128g, llava-v1.6-vicuna-7b, and llava-v1.6-vicuna-13b models.
Model inputs and outputs
The vicuna-13b-GPTQ-4bit-128g model takes text as its input and generates text as its output. It can be used for a variety of natural language processing tasks such as language generation, text summarization, and translation.
Inputs
- Text prompts
Outputs
- Generated text based on the input prompt
Capabilities
The vicuna-13b-GPTQ-4bit-128g model has been trained on a large amount of text data and can generate human-like responses on a wide range of topics. It can be used for tasks such as answering questions, generating creative writing, and engaging in conversational dialogue.
What can I use it for?
You can use the vicuna-13b-GPTQ-4bit-128g model for a variety of applications, such as building chatbots, automating content creation, and assisting with research and analysis. With its strong language understanding and generation capabilities, it can be a powerful tool for businesses and individuals looking to streamline their workflows and enhance their productivity.
Things to try
Some interesting things to try with the vicuna-13b-GPTQ-4bit-128g model include generating creative stories or poems, summarizing long articles or documents, and engaging in open-ended conversations on a wide range of topics. By exploring the model's capabilities, you can uncover new and innovative ways to leverage its potential.
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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