jastorj/snowflake_arctic_text2sql_r1_7b-nl2sqlpp-16bit-v5.5-cw-15K
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 19, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The jastorj/snowflake_arctic_text2sql_r1_7b-nl2sqlpp-16bit-v5.5-cw-15K is a 7.6 billion parameter Qwen2 model, fine-tuned by jastorj from Snowflake/Arctic-Text2SQL-R1-7B. This model is specifically optimized for Text-to-SQL tasks, leveraging efficient training with Unsloth and Huggingface's TRL library. It is designed to convert natural language queries into SQL commands, making it suitable for database interaction applications.
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Model Overview
This model, developed by jastorj, is a fine-tuned variant of the Snowflake/Arctic-Text2SQL-R1-7B, built upon the Qwen2 architecture. With 7.6 billion parameters and a context length of 32768 tokens, it is specifically engineered for Text-to-SQL applications.
Key Capabilities
- Natural Language to SQL Conversion: Excels at translating natural language questions into executable SQL queries.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library for accelerated and optimized fine-tuning processes.
- Specialized for Database Interaction: Designed to streamline data querying by allowing users to interact with databases using plain English.
Good For
- Database Querying: Ideal for applications requiring natural language interfaces to SQL databases.
- Data Analytics Tools: Can be integrated into tools that empower non-technical users to retrieve data without writing SQL.
- Automated Report Generation: Useful for automating the creation of reports based on natural language requests.