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Update README.md

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@@ -24,9 +24,9 @@ The model emphasizes **reasoning quality, instruction robustness, and stability
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  - ~4B parameters
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  - 16K context length
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- - Optimized for reasoning-centric tasks
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  - Designed for modern GPU inference runtimes
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- - **Architecture:** Qwen3-compatible (DeepBrainz-R series, post-trained, and optimized for math and coding)
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  - ~4B parameters
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  - 16K context length
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+ - Optimized for reasoning-centric math and coding tasks
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  - Designed for modern GPU inference runtimes
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+ - **Architecture:** Qwen3-compatible (DeepBrainz-R series, post-trained, and optimized for reasoning-centric workloads)
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