| # 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("YOUR_USERNAME/Merged_Aura_Airavata") | |
| tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/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)) | |