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
