Instructions to use havinash-ai/2ae0d5f3-6c0c-43cf-a808-6fab33c28ca7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/2ae0d5f3-6c0c-43cf-a808-6fab33c28ca7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "havinash-ai/2ae0d5f3-6c0c-43cf-a808-6fab33c28ca7") - Notebooks
- Google Colab
- Kaggle
2ae0d5f3-6c0c-43cf-a808-6fab33c28ca7
This model is a fine-tuned version of unsloth/Llama-3.1-Storm-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0920
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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