Instructions to use genies-models/llama-7b-counterfactual_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use genies-models/llama-7b-counterfactual_python with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("models/llama-7b") model = PeftModel.from_pretrained(base_model, "genies-models/llama-7b-counterfactual_python") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| ## 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: float16 | |
| ### Framework versions | |
| - PEFT 0.5.0 | |