Duckdb Nsql 7B - Details

Duckdb Nsql 7B is a large language model developed by Motherduck, a company, featuring 7B parameters. It is designed to generate valid DuckDB SQL statements. The model is available under a [License_Name] license.

Duckdb Nsql 7B is a family of autoregressive open-source large foundation models designed specifically for SQL generation tasks. Built on Meta's Llama-2 7B architecture, it is further pre-trained on general SQL queries and fine-tuned on DuckDB text-to-SQL pairs to enhance its ability to generate valid DuckDB SQL statements. Developed by Motherduck, a company, the model leverages its 7B parameters to specialize in structured query generation, making it a targeted solution for SQL-related workflows. Its open-source nature allows for flexibility and customization in database interaction tasks.

Duckdb Nsql 7B is a 7b parameter model with a 4k context length, positioning it in the small to mid-scale range for open-source LLMs. The 7b parameter size ensures resource efficiency and speed, making it suitable for targeted SQL generation tasks without excessive computational demands. Its 4k context length allows handling moderate-length queries but may limit performance on extended text sequences. This balance makes it effective for structured database interactions while maintaining accessibility for users with constrained resources.

• Parameter_Size: 7b (Small models, fast and resource-efficient for simple tasks)
• Context_Length: 4k (Short contexts, suitable for short tasks but limited for long texts)

Duckdb Nsql 7B is a specialized large language model designed for generating SQL statements, with possible applications in text-to-sql generation, sql query generation, and duckdb sql statement generation. Its focus on structured query tasks suggests it could be used to translate natural language descriptions into executable SQL commands, automate query creation, or assist in database schema exploration. However, these uses remain possible applications that require thorough testing to ensure accuracy and alignment with specific workflows. The model’s design implies it could support developers or analysts in streamlining database interactions, but further investigation is needed to confirm its effectiveness in real-world scenarios.

• text-to-sql generation
• sql query generation
• duckdb sql statement generation

Duckdb Nsql 7B is a specialized large language model that could have possible applications in automating the creation of SQL queries from natural language, generating structured database commands, or assisting in text-to-SQL translation tasks. Its design suggests it might be used for possible tasks like streamlining database interactions, enhancing query efficiency, or supporting data exploration workflows. However, these possible uses require thorough evaluation to ensure they meet specific requirements and perform reliably in real-world scenarios. Each application must be carefully tested before deployment to confirm its effectiveness and alignment with intended goals.

• text-to-sql generation
• sql query generation
• duckdb sql statement generation

Duckdb Nsql 7B’s medium q4 version requires approximately 12GB–24GB of VRAM to run efficiently, making it suitable for systems with mid-range GPUs. This quantized version balances precision and performance, allowing possible deployment on devices with 16GB VRAM or higher. However, the exact hardware needs may vary based on workload and optimization. Users should verify their GPU specifications against these requirements to ensure compatibility.

• fp16, q2, q3, q4, q5, q6, q8

Duckdb Nsql 7B is a 7B parameter large language model developed by Motherduck, specialized in generating valid DuckDB SQL statements. It is designed for efficient SQL query generation and text-to-SQL translation tasks, leveraging its focused training on DuckDB-specific data.

Huggingface Model Page
Ollama Model Page