Instructions to use baby-dev/8a8719db-5751-442a-a7bc-7adc343c3525 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/8a8719db-5751-442a-a7bc-7adc343c3525 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "baby-dev/8a8719db-5751-442a-a7bc-7adc343c3525") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: peft
license: apache-2.0
base_model: NousResearch/Hermes-2-Theta-Llama-3-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 8a8719db-5751-442a-a7bc-7adc343c3525
results: []
8a8719db-5751-442a-a7bc-7adc343c3525
This model is a fine-tuned version of NousResearch/Hermes-2-Theta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2849
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