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---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
datasets:
- wikisql
language:
- en
tags:
- mistral-7b
- lora
---
# AI2sql
AI2sql is a state-of-the-art LLM for converting natural language questions to SQL queries.
## Model Details
### Model Description
This model card presents the finetuning of the Mistral-7b model using the PEFT library and bitsandbytes for loading large models in 4-bit. The notebook demonstrates finetuning with Low Rank Adapters (LoRA), allowing only the adapters to be finetuned instead of the entire model. This specialized model offers a powerful tool for database querying and analysis, streamlining the process of extracting information from databases using conversational inputs.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
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## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Framework versions
- PEFT 0.6.3.dev0 |