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README.md

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+---
+license: apache-2.0
+tags:
+  - phi-2
+  - lora
+  - merged-model
+  - environmental-factors
+  - causal-lm
+  - transformer
+---
+
+# Phi-2 Merged Model: Environmental Emission Factors
+
+This model is a **merged version of Microsoft's Phi-2** fine-tuned using LoRA adapters on a custom instruction dataset focused on environmental emission factors.
+
+## 📌 Use Cases
+
+- Query emission factors for different energy sources by country or region
+- Develop mobile or web-based environmental awareness tools
+- Educational and research applications around climate data
+
+## 🧠 Model Architecture
+
+- **Base Model**: `microsoft/phi-2`
+- **Fine-tuning**: LoRA (Low-Rank Adaptation)
+- **Merged**: LoRA weights merged into base model using `PeftModel.merge_and_unload()`
+
+## 🚀 Usage
+
+Example Python code to generate responses:
+
+`from transformers import AutoModelForCausalLM, AutoTokenizer`
+
+`model = AutoModelForCausalLM.from_pretrained("Surendra-Aitest/phi2-env-factors-merged")`
+
+`tokenizer = AutoTokenizer.from_pretrained("Surendra-Aitest/phi2-env-factors-merged")`
+
+`prompt = "What is the CO2 emission factor for biomass energy in Germany?"`
+
+`inputs = tokenizer(prompt, return_tensors="pt")`
+
+`outputs = model.generate(**inputs, max_new_tokens=100)`
+
+`print(tokenizer.decode(outputs[0]))`
+
+## 📂 Files Included
+
+- `model-00001-of-00002.safetensors` and `model-00002-of-00002.safetensors`
+- `tokenizer.json`, `tokenizer_config.json`, `vocab.json`, `merges.txt`
+- `generation_config.json`, `config.json`
+
+## 📬 Contact
+
+For questions, contact: Surendra-Aitest