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--- |
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base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- gguf |
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license: apache-2.0 |
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language: |
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- en |
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datasets: |
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- gretelai/synthetic_text_to_sql |
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--- |
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### Text-to-SQL Model |
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A fine-tuned Llama 3.2 3B model specialized for converting natural language queries into SQL statements. This model transforms everyday questions into precise database queries, making data accessible to everyone. |
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### Desired Use Cases |
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Perfect for applications requiring natural language to SQL conversion: |
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Business Intelligence: "Show me sales by region for last quarter" |
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Data Analytics: "Find customers who haven't purchased in 6 months" |
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Reporting: "What are the top 10 products by revenue?" |
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Database Querying: Making databases accessible to non-technical users |
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### Training Data |
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Trained on the gretelai/synthetic_text_to_sql dataset, which provides: |
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High-quality synthetic text-to-SQL pairs |
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Diverse query patterns and complexity levels |
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Multiple database schemas and domains |
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Robust coverage of SQL operations and functions |
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### Model Performance |
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IDK MAN, it does what it does brev. |
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-UPDATE- |
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YEA I didnt cook. |
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I reckon it underfit during training/. |
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I may have to re-do the data_prep then training and see what results the model gives us during inference and try to evaluate the model. |
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# Uploaded model |
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- **Developed by:** imahwashere |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
