vikasojha/python-code-explainer

1---2library_name: peft3---4## Training procedure5 6 7The following `bitsandbytes` quantization config was used during training:8- load_in_8bit: False9- load_in_4bit: True10- llm_int8_threshold: 6.011- llm_int8_skip_modules: None12- llm_int8_enable_fp32_cpu_offload: False13- llm_int8_has_fp16_weight: False14- bnb_4bit_quant_type: nf415- bnb_4bit_use_double_quant: False16- bnb_4bit_compute_dtype: float1617### Framework versions18 19- PEFT 0.4.020 21### UseCase.22- This model has been trained to explain the python code in the way chatGPT does.23 24### Dataset25- To give it the chatGPT tone, dataset was prepared for around 3000 python programs using chatGPT itself.26