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Update README.md

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@@ -26,7 +26,7 @@ cost-efficient to deploy.
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  - **1.7B 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 reasoning-centric workloads)
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@@ -35,6 +35,7 @@ cost-efficient to deploy.
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  ## Intended Use
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  - Advanced reasoning systems
 
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  - Research and evaluation
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  - Agentic workflows
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  - Inference-time scaling and test-time compute experiments
 
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  - **1.7B 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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  ## Intended Use
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  - Advanced reasoning systems
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+ - Math and Coding
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  - Research and evaluation
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  - Agentic workflows
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  - Inference-time scaling and test-time compute experiments