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arco ultra is an improvement over [WizardLM-Evol-V2-Unfiltered](https://huggingface.co/trollek/danube2-1.8b-WizardLM-Evol-V2-Unfiltered) which at the time of writting is a state-of-the-art 1.8 billion parameters mistral language model. The model was first merged with another sota model ([Synthia-v1.3](https://huggingface.co/trollek/danube2-1.8b-Synthia-v1.3)) in order to get a balanced, performant model.
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Post-merging was used just like with palmer models (merge, finetune later).
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arco ultra is an improvement over [WizardLM-Evol-V2-Unfiltered](https://huggingface.co/trollek/danube2-1.8b-WizardLM-Evol-V2-Unfiltered) which at the time of writting is a state-of-the-art 1.8 billion parameters mistral language model. The model was first merged with another sota model ([Synthia-v1.3](https://huggingface.co/trollek/danube2-1.8b-Synthia-v1.3)) in order to get a balanced, performant model.
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Post-merging was used just like with palmer models (merge, finetune later).
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#### benchmarks
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zero-shot evaluations performed on current sota ~0.5b models.
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| Parameters | Model | MMLU | ARC-C | HellaSwag | PIQA | Winogrande | Average |
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| -----------|--------------------------------|-------|-------|-----------|--------|------------|---------|
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| 0.5b | arco |26.17|37.29|62.88|74.37|62.27|52.60|
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| 1.8B | wizard |40.79|40.87|71.85|**78.02**|64.33| 59.17|
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| 1.8B | niro |**41.75**|**40.96**|**72.07**|77.97|**65.51**|**59.65**|
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