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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
Llamatokenizers
Usage
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))
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