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@@ -49,11 +49,11 @@ In this benchmark table we can see Fijik2.0 performing competitively with simila
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  ```
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  Granite 4.0 350M base
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  \ /
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- Continual pre-training1 (~6B tokens, august 2025 knowledge cutoff, low context)
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  \ /
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  Continual pre-training2 (~1B tokens, aug 2025 knowledge cutoff, higher context)
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  \ /
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- Supervised fine-tuning (~3B tokens, data from feb 2026, mixed chat, agentic, web search, code, tool use, reasoning)
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  \ /
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  Final uploaded model (best checkpoint chosen)
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  ```
 
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  ```
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  Granite 4.0 350M base
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  \ /
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+ Continual pre-training1 (~2B tokens, august 2025 knowledge cutoff, low context)
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  \ /
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  Continual pre-training2 (~1B tokens, aug 2025 knowledge cutoff, higher context)
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  \ /
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+ Supervised fine-tuning (~2B tokens, data from feb 2026, mixed chat, agentic, web search, code, tool use, reasoning)
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  \ /
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  Final uploaded model (best checkpoint chosen)
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  ```