Edit model card

BrockportGPT 7B

This is a finetuned LLaMA-2 model using a synthetically generated dataset from SUNY Brockports website using GPT-4. The goal here is to answer any question related to SUNY Brockport. This is accomplished to varying degrees of success.

For more information see https://www.matthewsaad.com/projects/brockportgpt/

Use this code for inference using GPTQ:

from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, pipeline
import torch

prompt = lambda question: f"""\
<s>[INST] <<SYS>>
You are a helpful, respectful and honest assistant for SUNY Brockport, a public college in Brockport, New York. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
<</SYS>>

{question} [/INST]
"""

REPO_ID = "msaad02/BrockportGPT-7b"

generator = pipeline(
    task='text-generation', 
    tokenizer=AutoTokenizer.from_pretrained(REPO_ID),
    model=AutoModelForCausalLM.from_pretrained(
        pretrained_model_name_or_path=REPO_ID,
        quantization_config=BitsAndBytesConfig(
            load_in_4bit=True,
            bnb_4bit_compute_dtype=torch.bfloat16,
            bnb_4bit_use_double_quant=True,
            bnb_4bit_quant_type='nf4'
        ),    
    ), 
    torch_dtype=torch.bfloat16,
    device_map={"": 0},
)

An example out is:

question="How can I apply to SUNY Brockport?"

output=generator(prompt(question), do_sample=True, temperature=0.7, max_new_tokens=512)
output[0]["generated_text"].split("[/INST]\n")[1]

"Applying to SUNY Brockport is a straightforward process. You can start by selecting the 'Apply Now' button on our homepage, which will guide you through the application process. Our Admissions Team is always available to assist you with any questions or concerns you may have. We can't wait to welcome you to our community of Golden Eagles!"

Downloads last month
2
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train msaad02/BrockportGPT-7b

Collection including msaad02/BrockportGPT-7b