llama3-llava-next-8b
Maintainer: lmms-lab
57
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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 llama3-llava-next-8b model is an open-source chatbot developed by the lmms-lab team. It is an auto-regressive language model based on the transformer architecture, fine-tuned from the meta-llama/Meta-Llama-3-8B-Instruct base model on multimodal instruction-following data. This model is similar to other LLaVA models, such as llava-v1.5-7b-llamafile, llava-v1.5-7B-GGUF, llava-v1.6-34b, llava-v1.5-7b, and llava-v1.6-vicuna-7b, which are all focused on research in large multimodal models and chatbots.
Model inputs and outputs
The llama3-llava-next-8b model is a text-to-text language model that can generate human-like responses based on textual inputs. The model takes in text prompts and generates relevant, coherent, and contextual responses.
Inputs
- Textual prompts
Outputs
- Generated text responses
Capabilities
The llama3-llava-next-8b model is capable of engaging in open-ended conversations, answering questions, and completing a variety of language-based tasks. It can demonstrate knowledge across a wide range of topics and can adapt its responses to the context of the conversation.
What can I use it for?
The primary intended use of the llama3-llava-next-8b model is for research on large multimodal models and chatbots. Researchers and hobbyists in fields like computer vision, natural language processing, machine learning, and artificial intelligence can use this model to explore the development of advanced conversational AI systems.
Things to try
Researchers can experiment with fine-tuning the llama3-llava-next-8b model on specialized datasets or tasks to enhance its capabilities in specific domains. They can also explore ways to integrate the model with other AI components, such as computer vision or knowledge bases, to create more advanced multimodal systems.
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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