Update README.md

README.md

@@ -12,12 +12,41 @@ language:
 - en
 ---
 
-# Uploaded  model
+### Llama 2 7B Physics
 
-- **Developed by:** arham-15
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
+A large language model specialized for quantum physics related queries. It has been fine tuned from llama 2 7B which is a chat model. The model was fine-tuned using the unsloth library in python.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+### Usage
+
+You can import and use the model using unsloth:
+
+```python
+
+from unsloth import FastLanguageModel
+
+max_seq_length = 2048
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "arham-15/llama2_7B_qphysics",
+    max_seq_length = max_seq_length,
+    dtype = None,
+    load_in_4bit = True,
+)
+```
+
+Or you can use the hugging face transformers library if you wish to, totally up to you.
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "arham-15/llama2_7B_qphysics"
+
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+```
+
+### Results
+
+The model has been evaluated with its base model by perplexity score. The model has shown significant improvement on quantum physics related queries. Out of 200 test questions, the model outperformed the base model on 126 with a lower perplexity score.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)