Instructions to use cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -18,7 +18,7 @@ The Meta Llama-3.1-8B-Instruct model fine-tuned on the Adversarial Natural Langu
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**Evaluation Results**
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Accuracy:
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| ANLI-R1 | ANLI-R2 | ANLI-R3 | Avg. |
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| 77.2 | 62.8 | 61.2 | 67.1 |
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**Evaluation Results**
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Accuracy on the test set (%):
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| ANLI-R1 | ANLI-R2 | ANLI-R3 | Avg. |
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| 77.2 | 62.8 | 61.2 | 67.1 |
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