llava-llama-3-8b-v1_1
Maintainer: xtuner
105
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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
llava-llama-3-8b-v1_1 is a LLaVA model fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner. This model is in XTuner LLaVA format.
Model inputs and outputs
Inputs
- Text prompts
- Images
Outputs
- Text responses
- Image captions
Capabilities
The llava-llama-3-8b-v1_1 model is capable of multimodal tasks like image captioning, visual question answering, and multimodal conversations. It performs well on benchmarks like MMBench, CCBench, and SEED-IMG, demonstrating strong visual understanding and reasoning capabilities.
What can I use it for?
You can use llava-llama-3-8b-v1_1 for a variety of multimodal applications, such as:
- Intelligent virtual assistants that can understand and respond to text and images
- Automated image captioning and visual question answering tools
- Educational applications that combine text and visual content
- Chatbots with the ability to understand and reference visual information
Things to try
Try using llava-llama-3-8b-v1_1 to generate captions for images, answer questions about the content of images, or engage in multimodal conversations where you can reference visual information. Experiment with different prompting techniques and observe how the model responds.
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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