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README.md
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@@ -178,13 +178,13 @@ Network Architecture: Qwen-32B-Instruct
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**Input Type(s):** Text <br>
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**Input Format(s):** String <br>
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**Input Parameters:** One-Dimensional (1D) <br>
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**Other Properties Related to Input:**
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## Output: <br>
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**Output Type(s):** Text <br>
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**Output Format:** String <br>
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**Output Parameters:** One-Dimensional (1D) <br>
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**Other Properties Related to Output:**
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Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>
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**Input Type(s):** Text <br>
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**Input Format(s):** String <br>
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**Input Parameters:** One-Dimensional (1D) <br>
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**Other Properties Related to Input:** Trained for up to 64,000 output tokens <br>
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## Output: <br>
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**Output Type(s):** Text <br>
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**Output Format:** String <br>
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**Output Parameters:** One-Dimensional (1D) <br>
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**Other Properties Related to Output:** Trained for up to 64,000 output tokens <br>
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Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>
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