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@@ -27,14 +27,9 @@ State of the art, small language model pretrained from scratch on a diverse set
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  <video src="https://huggingface.co/dotlabs/void.1/resolve/main/teaser.mp4" autoplay loop width="100%"></video>
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- ## Comparison against sota 90m
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- | Model | Params | HellaSwag | PIQA | ARC-E | ARC-C | ArithMark-3 | Intelligence Index |
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- | ----------------------------------------------------------------- | ------ | --------- | ------ | -------- | ------------- | ----------- | ------------------ |
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- | [void.1](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1)\* | **90.15M** | **39.46%** | **67.19%** | 49.32% | **29.35%** | 43.70% | **24.38** |
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- | [palmer-006](https://huggingface.co/appvoid/palmer-006) | 91.10M | 38.41% | 63.60% | 44.82% | 29.27% | **52.70%** | 23.33 |
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  ## Details
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  <video src="https://huggingface.co/dotlabs/void.1/resolve/main/teaser.mp4" autoplay loop width="100%"></video>
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+ ## Comparison
 
 
 
 
 
 
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+ [void.1](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1) (24.38 II) achieves similar and often higher performance than [palmer-006](https://huggingface.co/appvoid/palmer-006) (23.33 II) across all benchmarks and sets a new standard for future models.
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  ## Details
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