Mys
Models by this creator
🐍
ggml_llava-v1.5-7b
95
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.
Updated 5/28/2024
↗️
ggml_bakllava-1
71
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.
Updated 5/28/2024