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--- |
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library_name: peft |
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base_model: mistralai/Mistral-7B-v0.1 |
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pipeline_tag: text-generation |
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datasets: |
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- wikisql |
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language: |
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- en |
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tags: |
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- mistral-7b |
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- lora |
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--- |
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# AI2sql |
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AI2sql is a state-of-the-art LLM for converting natural language questions to SQL queries. |
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## Model Details |
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### Model Description |
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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. |
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- **Developed by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [optional]:** [More Information Needed] |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Framework versions |
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- PEFT 0.6.3.dev0 |
