Update README.md

Updating Model Name

README.md

@@ -21,7 +21,7 @@ pipeline_tag: text-generation
 Designed for edge deployments and low-latency environments, **AQUA-1B** enables on-device decision-making, real-time alert generation, and agentic task execution. It powers intelligent aquaculture systems for Water quality monitoring, Automated feeding routines, Mobile robotic inspections across ponds, tanks, and recirculating aquaculture systems (RAS)
 
 
-Learn more about AQUA-1B in our detailed [blog post](https://www.kurma.ai/blogs/AQUA-7B).
+Learn more about AQUA-1B in our detailed [blog post](https://www.kurma.ai/blogs/AQUA-1B).
 
 ---
 
@@ -82,7 +82,7 @@ login(token="hf_xxx")  # Replace with your actual token
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
-model_id = "KurmaAI/AQUA-7B"
+model_id = "KurmaAI/AQUA-1B"
 
 tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained(
@@ -117,4 +117,4 @@ This project was made possible thanks to:
 
 - **Domain Bias**: The model may reflect inherent biases present in the aquaculture data sources and industry practices on which it was trained.
 - **Temporal Data Limitation**: Climate and environmental recommendations are based on information available up to 2024. Users should cross-check any climate-related advice against the latest advisories (e.g., IMD or NOAA updates).
-- **Potential Hallucinations**: Like all large language models, Aqua-7B may occasionally generate inaccurate or misleading responses ("hallucinations"). **Always validate critical, regulatory, or high-impact decisions with a qualified aquaculture professional.**
+- **Potential Hallucinations**: Like all large language models, Aqua-1B may occasionally generate inaccurate or misleading responses ("hallucinations"). **Always validate critical, regulatory, or high-impact decisions with a qualified aquaculture professional.**