Instructions to use RyanJT/trained-quant-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RyanJT/trained-quant-8bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("RyanJT/quantized-granite-4bit-3b-code-instruct") model = PeftModel.from_pretrained(base_model, "RyanJT/trained-quant-8bit") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.42.0.dev0" | |
| } | |