# Merged_Aura_Airavata

This model merges **Aura_v3_7B** and **Airavata** using upscaling and weighted blending.

## Model Details
- **Base Models:** `ResplendentAI/Aura_v3_7B` + `ai4bharat/Airavata`
- **Merging Method:** Upscaling + Weighted Averaging (α=0.5)
- **Tokenizer:** Compatible with `Llama` tokenizers

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Divyansh008/Merged_Aura_Airavata")
tokenizer = AutoTokenizer.from_pretrained("Divyansh008/Merged_Aura_Airavata")

prompt = "Hello, how are you?."
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
output = model.generate(input_ids)
print(tokenizer.decode(output[0], skip_special_tokens=True))