File size: 1,962 Bytes
fd05de8 cf81d89 f98d85b bb756fd f98d85b 5fe5c58 f98d85b 5fe5c58 f98d85b 5fe5c58 f98d85b 5f0e12b f98d85b 5f0e12b 5fe5c58 5f0e12b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | ---
language:
- en
base_model:
- bartowski/Llama-3.2-3B-Instruct-uncensored-GGUF
tags:
- cybersecurity
- uncensored
- code
license: mit
pipeline_tag: text-generation
---

# Navi
A high-performance, uncensored language model fine-tuned for cybersecurity applications.
## Table of Contents
- [Model Details](#model-details)
- [Instructions](#instructions)
- [Linux/Mac Instructions](#linuxmac-instructions)
- [Web UI](#web-ui)
- [Windows Instructions](#windows-instructions)
- [Windows Web UI](#windows-web-ui)
## Model Details
This model is built upon [bartowski/Llama-3.2-3B-Instruct-uncensored-GGUF](https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-uncensored-GGUF), leveraging its capabilities for text generation in the cybersecurity domain.
## __Instructions__
### Linux/Mac Instructions
To run the model locally:
1. Download the `navi.llamafile`
2. Open a terminal and navigate to the download directory.
3. Run the model using `./navi.llamafile`.
### Web UI
For a web interface:
1. Follow the steps above.
2. Run the model with `./navi.llamafile --server --v2`.
### Windows Instructions
1. Download the `navi.llamafile`
2. Head over to your downloads folder
3. Find `navi.llamafile` and right click on it
4. Rename the file to `navi.llamafile.exe`
5. Double click on the file
- From here it should launch a terminal window and load the model / cli chat interface.
### Windows Web UI
**Following the instructions above from 1 - 4**
1. Right click any open space and select open terminal
- Alternatively open a terminal anywhere and navigate to wherever the `navi.llamafile.exe` is.
2. Once found type `.\navi.llamafile.exe --server --v2` to launch the included webserver
3. Open up a webbrowser and navigate to: localhost:8080
**NOTE: This system has been tested on windows 11 as well as Ubuntu 24.04 LTS** |