readme description added.

README.md

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+---
+language:
+- en
+---
+This is llama2 7B finetuned using qlora with bf16 as compute dtype. The dataset has been generated using open-ai api with samples semantics oriented towards abstract explanation of system design.
+
+
+lora has been merged into the original model, 3 peochs have been trained with batch size of 16.
+
+
+```bash
+from google.colab import drive
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import pipeline
+
+model_path = "SaffalPoosh/system_design_expert"
+
+model = AutoModelForCausalLM.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+
+prompt = "Design an application like Whatsapp with tech stack you will use"
+gen = pipeline('text-generation', model=model, tokenizer=tokenizer)
+result = gen(prompt)
+print(result[0]['generated_text'])
+```
+