You can deploy this model and start earning money today!

SHAH-MEER/
llama-pricer

Name: llama-pricer
Availability: InStock

safetensors

SHAH-MEER/pricer

meta-llama/Llama-3.1-8B

finetune

mit

Views

No views yet

Llama Pricer

A fine-tuned Llama 3.1 model specialized for Amazon product price prediction.

Model Performance

This model achieves state-of-the-art performance on Amazon product price prediction with a Mean Absolute Error (MAE) of $47, significantly outperforming all baseline methods:

Method	MAE
Fine-tuned Llama 3.1	$47
GPT-4o Mini	$76
Random Forest + WordVec	$97
Linear Regression + WordVec	$121
Average Price Prediction	$146
Random Guess	$350

The model shows a 38% improvement over GPT-4o Mini and 51% improvement over traditional ML approaches.

Model Details

Base Model: Llama 3.1
Fine-tuning: Specialized for Amazon product price prediction
Performance: MAE of $47 (38% better than GPT-4o Mini)

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the model
tokenizer = AutoTokenizer.from_pretrained("SHAH-MEER/llama-pricer")
model = AutoModelForCausalLM.from_pretrained("SHAH-MEER/llama-pricer")

# Example usage
inputs = tokenizer("Predict the Amazon price for this product:", return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))

Applications

Amazon product price prediction
E-commerce price forecasting
Competitive pricing analysis
Product pricing optimization
Market trend analysis for Amazon products

License

Please refer to the original Llama 3.1 license terms.

Citation

If you use this model in your research, please cite:

bibtex

@misc{llama-pricer,
  title={Llama Pricer: Fine-tuned Llama 3.1 for Amazon Product Price Prediction},
  author={SHAH-MEER},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/SHAH-MEER/llama-pricer}
}