ggml_bakllava-1
Maintainer: mys
71
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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_bakllava-1 model is a GGUF-format model developed by maintainer mys for inference with llama.cpp. It is designed to be used end-to-end without any extra dependencies. Similar models include the ggml_llava-v1.5-7b and the Llama-2-7B-GGUF, all of which offer GGUF model files for inference with llama.cpp.
Model inputs and outputs
The ggml_bakllava-1 model is a text-to-text model, taking in text input and generating text output.
Inputs
- Text input to be processed by the model
Outputs
- Generated text output based on the input
Capabilities
The ggml_bakllava-1 model can be used for a variety of text generation tasks, including completing and expanding on prompts. It may be particularly well-suited for applications that require fast, efficient inference without extra dependencies.
What can I use it for?
The ggml_bakllava-1 model could be used in projects that need to generate text, such as creative writing assistants, chatbots, or text summarization tools. Its small size and llama.cpp integration make it a good choice for applications that need to run locally on limited hardware. Users could explore using it within text-generation-webui, KoboldCpp, or other llama.cpp-compatible tools and libraries.
Things to try
Experiment with providing the model different types of prompts, from short phrases to longer paragraphs, and see how it generates relevant and coherent text in response. You could also try using temperature and top-k/p settings to adjust the creativity and diversity of the outputs.
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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