Create README.md

README.md

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+---
+language: 
+- en
+tags:
+- llama
+- text-generation
+- fine-tuned
+datasets:
+- mlabonne/guanaco-llama2-1k
+---
+
+# Abhishek0323's Fine-tuned LLaMA-2 Model
+
+## Model Description
+
+This model is a fine-tuned version of the LLaMA-2 language model specifically optimized for generating responses to general knowledge questions. It has been fine-tuned to better understand and process prompts in a conversational context.
+
+## How to Use
+
+#python
+from transformers import AutoTokenizer, pipeline
+import torch
+
+model_name = "Abhishek0323/llama-2-7b-ftabhi"
+prompt = "What is a large language model?"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+gen_pipeline = pipeline(
+    "text-generation",
+    model=model_name,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = gen_pipeline(
+    f'<s>[INST] {prompt} [/INST]',
+    do_sample=True,
+    top_k=10,
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+    max_length=200,
+)
+
+for ans in sequences:
+    print(f"Result: {ans['generated_text']}")