| license: apache-2.0 | |
| inference: false | |
| base_model: llmware/slim-sql-1b-v0 | |
| base_model_relation: quantized | |
| tags: [green, p1, llmware-fx, onnx] | |
| # slim-sql-onnx | |
| **slim-sql-onnx** is a small specialized function calling model that takes as input a table schema and a natural language query, and outputs a SQL statement that corresponds to the query, and can be run against a database table. This is a very small text-to-sql model designed for reasonable accuracy on single tables and relatively straightforward queries, and for easy integration into multi-step processes. | |
| This is an ONNX int4 quantized version of slim-sql-1b-v0, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. | |
| ### Model Description | |
| - **Developed by:** llmware | |
| - **Model type:** tinyllama | |
| - **Parameters:** 1.1 billion | |
| - **Model Parent:** llmware/slim-sql-1b-v0 | |
| - **Language(s) (NLP):** English | |
| - **License:** Apache 2.0 | |
| - **Uses:** Text-to-SQL conversion | |
| - **RAG Benchmark Accuracy Score:** NA | |
| - **Quantization:** int4 | |
| ## Model Card Contact | |
| [llmware on github](https://www.github.com/llmware-ai/llmware) | |
| [llmware on hf](https://www.huggingface.co/llmware) | |
| [llmware website](https://www.llmware.ai) | |