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NeuralReyna-Mini-1.8B-v0.2

Reyna image

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: image/png

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
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Datasets used to train M4-ai/NeuralReyna-Mini-1.8B-v0.2

Evaluation results