Update README.md

README.md

@@ -1,7 +1,62 @@
----
-language:
-- en
-tags:
-- code
----
-This is finetuned the LLAMA2-7b-chat model using LoRA.
+
+
+# Model Card for Model ID
+
+finetuned the LLAMA2-7b-chat model using LoRA.
+
+This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+
+## Training Details
+
+### Training Data
+
+Trained on this dataset
+
+## mlabonne/guanaco-llama2-1k
+
+<!-- ## code  -->
+
+<!-- !pip install transformers accelerate
+ pip install transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "smd29/llama-2-7b-chat-finetuned"
+"
+prompt = "What is a large language model?"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = 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 seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+prompt="explain me in a simple way,what the equation for finding the nth triangle number is and how it can be proved by using only high school level math. please give each step of a proof using LaTeX."
+sequences = 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=400,
+)
+for seq in sequences: 
+    print(f"Result: {seq['generated_text']}")
+
+
+