vicuna-7b-delta-v1.1
Maintainer: lmsys
202
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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
vicuna-7b-delta-v1.1 is a chat assistant developed by LMSYS. It is a fine-tuned version of the LLaMA language model, trained on user-shared conversations collected from ShareGPT.com. This "delta model" is meant to be applied on top of the original LLaMA weights to get the actual Vicuna weights. Newer versions of the Vicuna weights are available, so users should check the instructions for the latest information.
Model inputs and outputs
vicuna-7b-delta-v1.1 is an auto-regressive language model based on the transformer architecture. It takes in text as input and generates text as output, making it suitable for a variety of natural language processing tasks.
Inputs
- Text prompts
Outputs
- Generated text continuations
Capabilities
The primary capability of vicuna-7b-delta-v1.1 is to engage in open-ended conversation and assist with a variety of language-based tasks. It can be used for tasks like question answering, summarization, and creative writing.
What can I use it for?
The primary use of vicuna-7b-delta-v1.1 is for research on large language models and chatbots. The model is intended for use by researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. The model can be used through a command line interface or via APIs.
Things to try
Users can try fine-tuning vicuna-7b-delta-v1.1 on their own datasets to adapt it to specific use cases. The model can also be used as a starting point for further research and development of large language models and chatbots.
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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