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Update README.md (#4)

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Co-authored-by: Blake S <[email protected]>

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@@ -153,4 +153,6 @@ The following factors can influence MAI-DS-R1's behavior and performance:
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  - **Architecture**: Based on DeepSeek-R1, a transformer-based autoregressive language model utilizing multi-head self-attention and Mixture-of-Experts (MoE) for scalable and efficient inference.
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  - **Objective**: Post-trained to reduce CCP-aligned restrictions and enhance harm protection, while preserving the original model’s strong chain-of-thought reasoning and general-purpose language understanding capabilities.
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  - **Pre-trained Model Base**: DeepSeek-R1 (671B)
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  - **Architecture**: Based on DeepSeek-R1, a transformer-based autoregressive language model utilizing multi-head self-attention and Mixture-of-Experts (MoE) for scalable and efficient inference.
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  - **Objective**: Post-trained to reduce CCP-aligned restrictions and enhance harm protection, while preserving the original model’s strong chain-of-thought reasoning and general-purpose language understanding capabilities.
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  - **Pre-trained Model Base**: DeepSeek-R1 (671B)
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+ ### Data Summary
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+ https://huggingface.co/microsoft/MAI-DS-R1-FP8/blob/main/data_summary_card.md