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This model was a usses LLama3.2-1B-Instruct as a base. It does better 50% than the same fintuning on ElutherAI/gpt-neo-1.3B on the HellaSwag benchmark for instruction following.

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Model Description

This is an ORPO fine-tune of meta-llama/Llama-3.2-1B-Instruct on a dataset of mlabonne/orpo-dpo-mix-40k.

Evaluation Results

Hellaswag for this model

Tasks	Version	Filter	n-shot	Metric		Value		Stderr
hellaswag	1	none	0	acc	↑	0.4501	±	0.0050
		none	0	acc_norm	↑	0.6072	±	0.0049

Hellaswag for same fine-tuning for ElutherAI/gpt-neo-1.3B

Tasks	Version	Filter	n-shot	Metric		Value		Stderr
hellaswag	1	none	0	acc	↑	0.3853	±	0.0049
		none	0	acc_norm	↑	0.4891	±	0.0050

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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