# 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']}")