Ankur87/Llama2_Time_series_forecasting
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:May 18, 2024Architecture:Transformer0.0K Featherless Exclusive Warm
Ankur87/Llama2_Time_series_forecasting is a 1.1 billion parameter model developed by Ankur87, designed for time series forecasting tasks. This model leverages the Llama2 architecture, providing a compact yet capable solution for predictive analytics. Its primary use case is to generate forecasts based on sequential data, making it suitable for applications requiring time-dependent predictions.
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Overview
This model, developed by Ankur87, is a 1.1 billion parameter variant based on the Llama2 architecture, specifically adapted for time series forecasting. The model card indicates it is a Hugging Face Transformers model, automatically generated and pushed to the Hub.
Key Capabilities
- Time Series Forecasting: Designed to perform predictive analytics on sequential data.
- Llama2 Architecture: Utilizes the Llama2 framework, suggesting a foundation for robust language understanding adapted for numerical sequences.
- Compact Size: With 1.1 billion parameters, it offers a relatively efficient solution for deployment compared to larger models.
Good for
- Applications requiring predictions based on historical time-dependent data.
- Researchers and developers looking for a Llama2-based model for time series analysis.
- Scenarios where a balance between model size and forecasting capability is desired.