Edit model card

This model is a result of merging three Orca2-13B models with itself using 'mergekit-legacy'. Merge parameters were passthrough for one and --weight 0.5 --density 0.5 for the second merge.

This merged model showed marginal improvement in perplexity scores:

The perplexity for Orca-2-13b is: 7.595028877258301 The perplexity for orca2-26B-self-merge is: 7.550178050994873 The perplexity for orca2-39B-self-merge is: NC

The following table summarizes the model performance across a range of benchmarks:

Model Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K
microsoft/Orca-2-13b 58.64 60.67 79.81 60.37 56.41 76.64 17.97
vmajor/Orca2-13B-selfmerge-26B 62.24 60.84 79.84 60.32 56.38 76.87 39.2
vmajor/Orca2-13B-selfmerge-39B 62.24 60.84 79.84 60.32 56.38 76.87 39.2

Interestingly the GSM8K performance more than doubled with the first self merge. Second self merge resulting in the 39B model did not produce any further gains.


license: ms-pl

Downloads last month
1,315
Safetensors
Model size
13B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.