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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library_name: peft
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tags:
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- NLI
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---
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# Description
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The Meta Llama-3.1-8B-Instruct model fine-tuned on the Adversarial Natural Language Inference (ANLI) Benchmark.
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**Evaluation Results**
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library_name: peft
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tags:
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- NLI
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- Textual Entailment
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- Llama
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---
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# Description
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The Meta Llama-3.1-8B-Instruct model fine-tuned on the Adversarial Natural Language Inference (ANLI) Benchmark, for textual entailment tasks.
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**Evaluation Results**
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