---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- lora
- qlora
- script-writing
- ads
- youtube-shorts
- reels
- marketing
- content-creation
language:
- en
pipeline_tag: text-generation
---

# SireIQ-Scripts 🧠✍️

**SireIQ-Scripts** is an instruction-tuned AI model for generating **viral content scripts**, including:
- Short-form video scripts (Reels, TikTok, Shorts)
- Marketing & ad copy
- Image/video storytelling scripts
- Hook-based social media content

This model is **fine-tuned using LoRA** on top of **Mistral-7B-Instruct**.

---

## 🔧 Model Details

- **Base Model:** mistralai/Mistral-7B-Instruct-v0.2  
- **Fine-tuning:** LoRA / QLoRA  
- **Training Type:** Instruction-following  
- **Framework:** Hugging Face Transformers  
- **Environment:** Single GPU (Colab / Ubuntu)

---

## 📥 How to Use

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

base_model = "mistralai/Mistral-7B-Instruct-v0.2"
lora_model = "your-username/SireIQ-Scripts"

tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(
    base_model,
    device_map="auto",
    load_in_4bit=True
)

model = PeftModel.from_pretrained(model, lora_model)

prompt = """Write a viral Instagram reel script about AI replacing jobs."""

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=200)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))