ggml_llava-v1.5-7b
Maintainer: mys
95
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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 ggml_llava-v1.5-7b is a text-to-text AI model created by mys. It is based on the llava-v1.5-7b model and can be used with the llama.cpp library for end-to-end inference without any extra dependencies. This model is similar to other GGUF-formatted models like codellama-7b-instruct-gguf, llava-v1.6-vicuna-7b, and llama-2-7b-embeddings.
Model inputs and outputs
The ggml_llava-v1.5-7b model takes text as input and generates text as output. The input can be a prompt, question, or any other natural language text. The output is the model's generated response, which can be used for a variety of text-based tasks.
Inputs
- Text prompt or natural language input
Outputs
- Generated text response
Capabilities
The ggml_llava-v1.5-7b model can be used for a range of text-to-text tasks, such as language generation, question answering, and text summarization. It has been trained on a large corpus of text data and can generate coherent and contextually relevant responses.
What can I use it for?
The ggml_llava-v1.5-7b model can be used for a variety of applications, such as chatbots, virtual assistants, and content generation. It can be particularly useful for companies looking to automate customer service, generate product descriptions, or create marketing content. Additionally, the model's ability to understand and generate text can be leveraged for educational or research purposes.
Things to try
Experiment with the model by providing various types of input prompts, such as open-ended questions, task-oriented instructions, or creative writing prompts. Observe how the model responds and evaluate the coherence, relevance, and quality of the generated text. Additionally, you can explore using the model in combination with other AI tools or frameworks to create more complex applications.
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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