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---
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base_model:
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- appvoid/arco-original
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- appvoid/arco
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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#
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This is a merge of
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The following models were included in the merge:
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* [appvoid/arco-original](https://huggingface.co/appvoid/arco-original)
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* [appvoid/arco](https://huggingface.co/appvoid/arco)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: appvoid/arco
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layer_range: [0, 14]
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- sources:
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- model: appvoid/arco-original
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layer_range: [14, 16]
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merge_method: passthrough
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dtype: float16
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```
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# arco 2
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This is a merge of arco with an experimental model. As you can see, it dramatically improved on arc challenge, only missing 2 points to get to the level of modern 3b baseline performance.
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| Parameters | Model | MMLU | ARC-C | HellaSwag | PIQA | Winogrande | Average |
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| -----------|--------------------------------|-------|-------|-----------|--------|------------|---------|
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| 0.5b | qwen2 |44.13| 28.92| 49.05 | 69.31 | 56.99 | 49.68 |
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| 0.5b | arco (original) |24.41 | 38.23 | 59.21 | 74.27 | 59.59 | 51.14 |
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| 0.5b | qwen2.5 |**47.29**|31.83|52.17|70.29|57.06|51.72|
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| 0.5b | arco |26.17|37.29|62.88|74.37|**62.27**|52.60|
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| 0.5b | arco 2 |25.51|**38.82**|**63.02**|**74.70**|61.25|**52.66**|
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