Instructions to use kk-aivio/1519bebb-b9a8-4e83-89e3-ee4ccb0bb00a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/1519bebb-b9a8-4e83-89e3-ee4ccb0bb00a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "kk-aivio/1519bebb-b9a8-4e83-89e3-ee4ccb0bb00a") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| license: apache-2.0 | |
| base_model: unsloth/Qwen2.5-0.5B-Instruct | |
| tags: | |
| - axolotl | |
| - generated_from_trainer | |
| model-index: | |
| - name: 1519bebb-b9a8-4e83-89e3-ee4ccb0bb00a | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 1519bebb-b9a8-4e83-89e3-ee4ccb0bb00a | |
| This model is a fine-tuned version of [unsloth/Qwen2.5-0.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.7331 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ### Framework versions | |
| - PEFT 0.13.2 | |
| - Transformers 4.46.0 | |
| - Pytorch 2.5.0+cu124 | |
| - Datasets 3.0.1 | |
| - Tokenizers 0.20.1 |