Create README.md

README.md

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+---
+license: llama2
+pipeline_tag: text-generation
+Tags:
+- cortex.cpp
+- multimodal
+- vicuna
+- vision-language
+---
+
+## Overview
+
+**LLaVA** (Large Language and Vision Assistant) is an open-source chatbot trained to handle multimodal instruction-following tasks. It is a fine-tuned **Vicuna-7B** model, designed to process both **text and image** inputs. This auto-regressive language model leverages the **transformer architecture** to improve interactions in vision-language tasks, making it useful for research in **computer vision, natural language processing, machine learning, and artificial intelligence**.
+
+LLaVA-v1.6-Vicuna-7B is the latest iteration, trained in **December 2023**, and optimized for improved instruction-following performance in multimodal settings.
+
+## Variants
+
+| No | Variant | Cortex CLI command |
+| --- | --- | --- |
+| 1 | [llava-v1.6-vicuna-7b-f16](https://huggingface.co/cortexso/llava-v1.6/tree/gguf-f16) | `cortex run llava-v1.6:gguf-f16` |
+| 2 | [llava-v1.6-vicuna-7b-q4_km](https://huggingface.co/cortexso/llava-v1.6/tree/gguf-q4-km) | `cortex run llava-v1.6:gguf-q4-km` |
+
+## Use it with Jan (UI)
+
+1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
+2. Use in Jan model Hub:
+    ```bash
+    cortexso/llava-v1.6
+    ```
+
+## Use it with Cortex (CLI)
+
+1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
+2. Run the model with command:
+    ```bash
+    cortex run llava-v1.6
+    ```
+
+## Credits
+- **Author:** LLaVA Research Team
+- **Converter:** [Homebrew](https://www.homebrew.ltd/)
+- **Original License:** [LLAMA 2 Community License](https://github.com/facebookresearch/llama/blob/main/LICENSE)
+- **Papers:** [LLaVA-v1.6: Enhancing Large Multimodal Models](https://llava-vl.github.io/)