library_name: peft | |
datasets: | |
- garage-bAInd/Open-Platypus | |
base_model: microsoft/phi-1_5 | |
# Phi 1.5 Playtpus | |
QLoRA trained for 2 epochs. | |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) | |
## Training procedure | |
The following `bitsandbytes` quantization config was used during training: | |
- quant_method: bitsandbytes | |
- 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: True | |
- bnb_4bit_compute_dtype: bfloat16 | |
### Framework versions | |
- PEFT 0.6.0.dev0 |