---
library_name: transformers
license: mit
language:
- en
base_model:
- meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
tags:
- Refine
- prompt
---

This model was trained on Dataset:
(https://huggingface.co/imvshal09/llama-3.2-3b-Brompt/blob/main/prompts.csv)
PS: (I actually cannot remember where i got this dataset, if you know please let me know, so i can credit them!)


![Model Screenshot](https://cdn-lfs-us-1.hf.co/repos/3d/eb/3deb85e47dd46823ff1787158a5b8df358863dfa6f41cd49a6bdad439a833093/24e4243c535fee67b3ed2e5575bd502ba20002d2c49d7c4d421d565d040af44d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27Screenshot%2525202025-02-15%252520at%2525206.29.29%2525E2%252580%2525AFpm.png%3B+filename%3D%22Screenshot%25202025-02-15%2520at%25206.29.29%25E2%2580%25AFpm.png%22%3B&response-content-type=image%2Fpng&Expires=1739609914&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczOTYwOTkxNH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzNkL2ViLzNkZWI4NWU0N2RkNDY4MjNmZjE3ODcxNThhNWI4ZGYzNTg4NjNkZmE2ZjQxY2Q0OWE2YmRhZDQzOWE4MzMwOTMvMjRlNDI0M2M1MzVmZWU2N2IzZWQyZTU1NzViZDUwMmJhMjAwMDJkMmM0OWQ3YzRkNDIxZDU2NWQwNDBhZjQ0ZD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=OGK2Ij7JUAJ-TT7xmPloAF8lrBUufm-JO1wDiPEfDmgBMOW4Yg3RaIBDjkPnA-FGtbEIJ5HZqvuicmOa2Pv8Fr2DmO093Hprl9dfHxfAaCiK%7Eq3RnE3qk8G7T-cwhzpmW5O%7ERDHjes8P8oFAvrcynAI0rjLpsooYLdmPvgMjFYaWBFxlTHv6rCNFtz5-mO1yrSsTsrQpYrmAXQp7tOAdcN4P-1950gAqBYn7JHX7ybXZYH-j7viURzUbCMBvHaUO4agWxGazemzSYuvZyZCeYYFTNAH-pfs%7EV7MImpeU9H%7ENG4a1yAuiHBSlzmIjpKa%7EwfvdbbvL462weLCQo-Xahg__&Key-Pair-Id=K24J24Z295AEI9)

# 🦙 LLaMA 3.2 - 3B Brompt (GGUF)

This is a fine-tuned **LLaMA 3.2 - 3B** model designed to **refine and enhance user prompts**. It instantly makes prompts clearer, more detailed, and well-structured. The model is hosted on Hugging Face and can be used in Jan.

---

##  How to Use the Model in Jan

### Step 1: Get the Model
You can download the **GGUF model** from Hugging Face:

[👉 LLaMA 3.2 - 3B Brompt Q4_K_M (GGUF)](https://huggingface.co/imvshal09/llama-3.2-3b-Brompt-Q4_K_M-GGUF)

### Step 2: Install Jan
To run the model in **Jan**, you need to install it first. Download Jan from the following link:

[👉 Download Jan](https://jan.ai/)

### Step 3: Import the Model in Jan
1. Open **Jan**.
2. Navigate to the **Models** section and select **Import Model**.
3. Upload the **GGUF model file** that you downloaded from Hugging Face.

### Step 4: Set Instructions for the Model
For best results, provide the following instruction to the model:

```text
You are a top-rated prompt-improving service bot named Brompt. 
Your task is to instantly refine and enhance user prompts by making them clearer, more detailed, and well-structured.