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  ### Updates
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  > - 🔹 best under 90m on sub-100m on [open slm leaderboard!](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1)
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- > - 🔸 better models on the works focusing on stronger performance and usability.
 
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  # 👋 Meet void.1
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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** | **38.68%** | **67.46%** | 47.31% | **28.16%** | **44.80%** | **23.92** |
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  | [100M-exp](https://huggingface.co/User01110/100M-exp) | 98.16M | 37.78% | 66.97% | **49.83%** | 27.22% | 40.00% | 22.47 |
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  | [Rose-1.5-Medium](https://huggingface.co/GODELEV/Rose-1.5-Medium) | 98.28M | 38.09% | 64.80% | 47.22% | 27.13% | 40.70% | 21.07 |
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  | [tinctura-v1](https://huggingface.co/bench-labs/tinctura-v1) | 96.2M | 37.96% | 65.61% | 47.98% | 25.77% | 38.40% | 20.81 |
 
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  ### Updates
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  > - 🔹 best under 90m on sub-100m on [open slm leaderboard!](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard#dotlabs-void.1)
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+ > - 🔸 void.2 paused to train better models focusing on stronger performance and usability.
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+ > - ▫️ void.1 updated with better performance
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  # 👋 Meet void.1
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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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  | [100M-exp](https://huggingface.co/User01110/100M-exp) | 98.16M | 37.78% | 66.97% | **49.83%** | 27.22% | 40.00% | 22.47 |
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  | [Rose-1.5-Medium](https://huggingface.co/GODELEV/Rose-1.5-Medium) | 98.28M | 38.09% | 64.80% | 47.22% | 27.13% | 40.70% | 21.07 |
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  | [tinctura-v1](https://huggingface.co/bench-labs/tinctura-v1) | 96.2M | 37.96% | 65.61% | 47.98% | 25.77% | 38.40% | 20.81 |