Llama2-7b-economist

Llama2-7b-economist is a state-of-the-art language model with 7 billion parameters, specifically fine-tuned on extensive Macro and Micro Economic theory. It aims to provide data-driven economic insights and predictions.

Model Details

Model Description

Llama2-7b-economist represents the intersection of cutting-edge AI modeling and economic theory. By leveraging a vast parameter space and meticulous fine-tuning, this model seeks to transform the way we approach and understand economic data.

• Developed by: Collin Heenan
• Model type: Transformer-based Language Model
• Language(s): English
• License: MIT
• Finetuned from model: Llama2-7b Base Model

Model Sources

• Repository: [More Information Needed]
• Demo: [More Information Needed]

Uses

Direct Use

• Economic predictions based on text inputs.
• Answering questions related to Macro and Micro Economic theories.
• Analyzing economic texts and extracting insights.

Downstream Use

• Potential to be fine-tuned for specific economic tasks, such as economic sentiment analysis or financial forecasting.

Out-of-Scope Use

• Non-economic related tasks.
• Predictions that require non-textual data, like graphs or charts.

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users should ensure they are using Llama2-7b-economist in appropriate economic contexts and be cautious of extrapolating predictions without expert validation.

How to Get Started with the Model

[More Information Needed]

Training Details

Training Data

• Comprehensive Macro and Micro Economic theory datasets.

Training Procedure

Training Hyperparameters

• Training regime: Training on 1x t4 GPU

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator.

• Hardware Type: NVIDIA T4 GPU
• Hours used: [More Information Needed]
• Cloud Provider: [More Information Needed]
• Compute Region: [More Information Needed]
• Carbon Emitted: [More Information Needed]

Technical Specifications

Model Architecture and Objective

Transformer-based architecture with 7 billion parameters, designed to understand and predict economic patterns and insights.

Compute Infrastructure

Hardware

• 1x t4 GPU

Contact

• Collin Heenan