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@@ -31,6 +31,14 @@ This model is part of the **DeepBrainz-R1 Series**, built to deliver frontier-cl
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  ## 🎯 Intended Use Cases
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  - **Agentic Workflows:** Reliability in multi-step planning tasks.
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  - **Code Generation:** Writing and debugging algorithms.
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  - **Structured Data Extraction:** Parsing and reasoning over unstructured text.
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- > **Note:** This is a base reasoning model. For conversational chat, we recommend using a specific instruct template or fine-tuning on your domain data.
 
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+ ## 🏗️ Technical Summary
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+ This model has undergone **post-training** to improve structured reasoning behavior, mathematical problem solving, and robustness in agentic workflows.
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+ *Detailed post-training recipes and dataset compositions are not fully disclosed.*
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  ## 🎯 Intended Use Cases
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  - **Agentic Workflows:** Reliability in multi-step planning tasks.
 
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  - **Code Generation:** Writing and debugging algorithms.
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  - **Structured Data Extraction:** Parsing and reasoning over unstructured text.
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+ > **Note:** This model is post-trained for reasoning and agentic reliability.
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+ > It is not optimized for open-ended conversational chat without further instruction tuning.
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