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Boldt-DC-1B

Text Generation
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Safetensors
German
llama
nlp
custom_code
german
text-generation-inference
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@@ -71,8 +71,8 @@ Despite being trained on substantially fewer tokens, the Boldt-1B family outperf
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  | Model | Tokens | MMLU | ARC-C | ARC-E | H-Swag | LAMBADA | OBQA | Avg. |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | [Boldt-DC-350M](https://huggingface.co/Boldt/Boldt-DC-350M) | 200B | 29.29 | 32.24 | 52.87 | 43.21 | 37.48 | 45.86 | 40.16 |
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- | [Boldt-DC-1B](https://huggingface.co/Boldt/Boldt-DC-1B) | 200B | 31.06 | **35.99** | **57.30** | 48.69 | 42.80 | 48.48 | 44.05 |
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- | **Boldt-1B (this model)** | 230B | **31.42** | 34.11 | 55.78 | **48.77** | 44.70 | **52.32** | **44.52** |
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  | [LLäMmlein-1B](https://huggingface.co/LSX-UniWue/LLaMmlein_1B) | 1T | 29.26 | 30.27 | 48.19 | 44.80 | **44.89** | 47.27 | 40.78 |
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  | [Gemma-3-1B](https://huggingface.co/google/gemma-3-1b-pt) | 2T* | 30.01 | 30.55 | 47.89 | 43.43 | 41.71 | 45.05 | 39.77 |
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  | [Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) | 9T* | 28.58 | 29.90 | 40.51 | 40.07 | 44.31 | 44.04 | 37.90 |
 
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  | Model | Tokens | MMLU | ARC-C | ARC-E | H-Swag | LAMBADA | OBQA | Avg. |
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  | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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  | [Boldt-DC-350M](https://huggingface.co/Boldt/Boldt-DC-350M) | 200B | 29.29 | 32.24 | 52.87 | 43.21 | 37.48 | 45.86 | 40.16 |
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+ | **Boldt-DC-1B (this model)** | 200B | 31.06 | **35.99** | **57.30** | 48.69 | 42.80 | 48.48 | 44.05 |
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+ | [Boldt-DC-1B](https://huggingface.co/Boldt/Boldt-DC-1B) | 230B | **31.42** | 34.11 | 55.78 | **48.77** | 44.70 | **52.32** | **44.52** |
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  | [LLäMmlein-1B](https://huggingface.co/LSX-UniWue/LLaMmlein_1B) | 1T | 29.26 | 30.27 | 48.19 | 44.80 | **44.89** | 47.27 | 40.78 |
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  | [Gemma-3-1B](https://huggingface.co/google/gemma-3-1b-pt) | 2T* | 30.01 | 30.55 | 47.89 | 43.43 | 41.71 | 45.05 | 39.77 |
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  | [Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) | 9T* | 28.58 | 29.90 | 40.51 | 40.07 | 44.31 | 44.04 | 37.90 |