Instructions to use daniel40/3e352140-59a0-4c43-be71-162dc2ed3abc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/3e352140-59a0-4c43-be71-162dc2ed3abc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "daniel40/3e352140-59a0-4c43-be71-162dc2ed3abc") - Notebooks
- Google Colab
- Kaggle
3e352140-59a0-4c43-be71-162dc2ed3abc
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0731
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
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for daniel40/3e352140-59a0-4c43-be71-162dc2ed3abc
Base model
mistralai/Mistral-7B-v0.1 Finetuned
HuggingFaceH4/zephyr-7b-beta