sahaj96/Alpaca-Llama3-8B-Instruct-v1.0

Model Card for Model ID

Alpaca based on Llama 3 8B
Instruct
8k context length.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer import torch import torchvision

tokenizer = AutoTokenizer.from_pretrained("sahaj96/Alpaca-Llama3-8B-Instruct-v1.0") model = AutoModelForCausalLM.from_pretrained("sahaj96/Alpaca-Llama3-8B-Instruct-v1.0")

prompt = "A serene landscape with mountains and a lake"

inputs = tokenizer(prompt, return_tensors="pt")

output = model.generate(**inputs)

generated_text = tokenizer.decode(output[0], skip_special_tokens=True)

print("Generated Text:", generated_text)

output_image_path = "generated_image.png" torchvision.utils.save_image(torch.zeros((3, 256, 256)), output_image_path)

print(f"Image generated and saved at {output_image_path}")

Model Description

fine-tuned from the original Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
Alpaca is a general model and can itself be finetuned to be specialized for specific use cases.