metadata
library_name: peft
OpenLLaMa 3B PersonaChat
This is a LoRA finetune of OpenLLaMa 3B on the personachat-truecased dataset with 3 epochs of 500 steps.
Naming Format
[model name]-finetuned-[dataset]-e[number of epochs]-s[number of steps]
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- 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: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
- PEFT 0.4.0.dev0