Instructions to use tybritten/lora-for-starcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tybritten/lora-for-starcoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/tmp/model") model = PeftModel.from_pretrained(base_model, "tybritten/lora-for-starcoder") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: peft
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
Framework versions
- PEFT 0.5.0.dev0