| library_name: peft | |
| base_model: TinyPixel/Llama-2-7B-bf16-sharded | |
| ## Training procedure | |
| Llama2 (7B) model fine-tuned on the CodeAlpaca 20k instructions dataset by using the method QLoRA with PEFT library. | |
| Training and evaluation data 📚 | |
| CodeAlpaca_20K: contains 20K instruction-following data used for fine-tuning the Code Alpaca model. | |
| The following `bitsandbytes` quantization config was used during training: | |
| - 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: False | |
| - bnb_4bit_compute_dtype: float16 | |
| ### Framework versions | |
| - PEFT 0.5.0.dev0 | |