llava-phi-3-mini-gguf
Maintainer: xtuner
84
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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-phi-3-mini is a LLaVA model fine-tuned from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner. This LLaVA model is similar to other fine-tuned LLaVA models like llava-llama-3-8b-v1_1 and Phi-3-mini-4k-instruct-gguf, but has been further optimized by XTuner.
Model inputs and outputs
Inputs
- Text: The model takes textual prompts as input.
Outputs
- Text: The model generates relevant text responses to the input prompts.
Capabilities
The llava-phi-3-mini model is capable of engaging in open-ended conversations, answering questions, and generating human-like text on a wide range of topics. It has been fine-tuned to follow instructions and exhibit traits like helpfulness, safety, and truthfulness.
What can I use it for?
The llava-phi-3-mini model can be used for research and commercial applications that require a capable language model, such as building chatbots, virtual assistants, or text generation tools. Given its fine-tuning on instructional datasets, it may be particularly well-suited for applications that involve task-oriented dialogue or text generation based on user prompts.
Things to try
Some interesting things to try with llava-phi-3-mini include:
- Engaging the model in open-ended conversations on a wide range of topics to see its natural language abilities.
- Providing it with step-by-step instructions or prompts to see how it can break down and complete complex tasks.
- Exploring its reasoning and problem-solving skills by giving it math, logic, or coding problems to solve.
- Assessing its safety and truthfulness by trying to prompt it to generate harmful or false content.
The versatility of this LLaVA model means there are many possibilities for experimentation and discovery.
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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