Instructions to use daniel40/f81086e7-d20f-4bfa-bb85-094b0ccddbdf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/f81086e7-d20f-4bfa-bb85-094b0ccddbdf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "daniel40/f81086e7-d20f-4bfa-bb85-094b0ccddbdf") - Notebooks
- Google Colab
- Kaggle
44fbd55a-1689-4604-aa04-93b7e733cd90
This model is a fine-tuned version of unsloth/mistral-7b-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0226
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
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Model tree for daniel40/f81086e7-d20f-4bfa-bb85-094b0ccddbdf
Base model
unsloth/mistral-7b-v0.2