Tvisterious/Llama-3.1-8B-text-to-sql-10K-RussianDataset
Tvisterious/Llama-3.1-8B-text-to-sql-10K-RussianDataset is an 8 billion parameter Llama 3.1 model developed by Tvisterious, fine-tuned for text-to-SQL tasks specifically with Russian language datasets. This model leverages Unsloth for accelerated training, making it efficient for converting natural language queries into SQL commands. Its primary application is in database interaction for Russian-speaking users, offering specialized performance in this domain.
Loading preview...
Model Overview
Tvisterious/Llama-3.1-8B-text-to-sql-10K-RussianDataset is an 8 billion parameter language model, fine-tuned from the unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit base model. Developed by Tvisterious, this model is specifically optimized for text-to-SQL conversion using a Russian dataset.
Key Capabilities
- Russian Text-to-SQL: Specialized in translating natural language queries in Russian into executable SQL statements.
- Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training times.
- Llama 3.1 Architecture: Benefits from the robust architecture of the Llama 3.1 series.
Use Cases
This model is particularly well-suited for applications requiring database interaction through natural language interfaces for Russian-speaking users. It can be integrated into systems where users need to query databases without writing SQL manually, such as:
- Business intelligence tools for Russian markets.
- Customer support systems that retrieve data based on Russian queries.
- Data analysis platforms for Russian datasets.