---
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