charliemktplace/Llama-2-7B-hf-20-sql
The charliemktplace/Llama-2-7B-hf-20-sql model is a fine-tuned variant of the Llama-2-7B-hf architecture, specifically adapted for explaining Snowflake SQL queries. Developed by charliemktplace, this model is trained on a dataset of 20 Snowflake SQL queries and their corresponding explanations, making it specialized for crypto and blockchain analytics contexts. It is designed to provide holistic overviews of SQL code, focusing on the goals of the queries rather than line-by-line breakdowns.
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Model Overview
This model, charliemktplace/Llama-2-7B-hf-20-sql, is a specialized fine-tune of the NousResearch/Llama-2-7B-hf base model. Its primary purpose is to provide clear and concise explanations for Snowflake SQL queries, particularly within the domain of crypto and blockchain analytics.
Key Capabilities
- SQL Explanation: Excels at interpreting Snowflake SQL code and articulating its overall goals.
- Contextual Understanding: Trained to provide holistic overviews of SQL queries, avoiding line-by-line breakdowns.
- Domain Specialization: Fine-tuned on a small, custom dataset of 20 Snowflake SQL queries and their handmade explanations from Flipside Crypto, focusing on blockchain data.
Intended Use Cases
- SQL Code Comprehension: Ideal for users needing quick, high-level understanding of Snowflake SQL queries related to crypto and blockchain.
- Educational Tool: Can serve as a demo or learning aid for understanding the purpose of specific SQL operations in a blockchain context.
Technical Details
This is presented as a small demo model, indicating its specialized and focused training. It is compatible with oobabooga/text-generation-webui when loaded via Transformers, with chat mode recommended for interaction. The training utilized an ALPACA-like format, where the model is instructed to act as an expert crypto and blockchain analyst to explain SQL code.