NeuralReyna-Mini-1.8B-v0.2

Description

Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the Intel/orca_dpo_pairs dataset.

This model has capabilities in coding, math, science, roleplay, and function calling.

This model was trained on OpenAI's ChatML prompt format.

Evaluation

AGIEval:

GPT4ALL:

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
arc_challenge	1	none	0	acc	0.3208	±	0.0136
		none	0	acc_norm	0.3336	±	0.0138
arc_easy	1	none	0	acc	0.6035	±	0.0100
		none	0	acc_norm	0.5833	±	0.0101
boolq	2	none	0	acc	0.6526	±	0.0083
hellaswag	1	none	0	acc	0.4556	±	0.0050
		none	0	acc_norm	0.6076	±	0.0049
openbookqa	1	none	0	acc	0.2600	±	0.0196
		none	0	acc_norm	0.3460	±	0.0213
piqa	1	none	0	acc	0.7236	±	0.0104
		none	0	acc_norm	0.7307	±	0.0104
winogrande	1	none	0	acc	0.6062	±	0.0137

Disclaimer

This model may have overfitted to the DPO training data, and may not perform well.

Contributions

Thanks to @aloobun and @Locutusque for their contributions to this model.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	44.85
AI2 Reasoning Challenge (25-Shot)	37.80
HellaSwag (10-Shot)	60.51
MMLU (5-Shot)	45.04
TruthfulQA (0-shot)	37.75
Winogrande (5-shot)	60.93
GSM8k (5-shot)	27.07