Modelpublic

vikasojha/python-code-explainer

sourceHugging Faceupdated 3y agoView on Hugging Face

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Model Card

Training procedure

The following bitsandbytes quantization config was used during training:

—loadin8bit: False
—loadin4bit: True
—llmint8threshold: 6.0
—llmint8skip_modules: None
—llmint8enablefp32cpu_offload: False
—llmint8hasfp16weight: False
—bnb4bitquant_type: nf4
—bnb4bitusedoublequant: False
—bnb4bitcompute_dtype: float16

Framework versions

—PEFT 0.4.0

UseCase.

—This model has been trained to explain the python code in the way chatGPT does.

Dataset

—To give it the chatGPT tone, dataset was prepared for around 3000 python programs using chatGPT itself.