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NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

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suhara commited on Dec 18, 2025

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@@ -207,7 +207,7 @@ The end-to-end training recipe is available in the [NVIDIA Nemotron Developer Re
 - **Input Parameters:** One-Dimensional (1D): Sequences
-- **Maximum input size:** 128K tokens
 - **Other Properties Related to Input:** Supported languages include: English, Spanish, French, German, Japanese, Italian
@@ -219,7 +219,7 @@ The end-to-end training recipe is available in the [NVIDIA Nemotron Developer Re
 - **Output Parameters:** One-Dimensional (1D): Sequences
-- **Maximum output size:** 128K tokens
 Our AI models are designed and 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.

 - **Input Parameters:** One-Dimensional (1D): Sequences
+- **Maximum input size:** 1M tokens
 - **Other Properties Related to Input:** Supported languages include: English, Spanish, French, German, Japanese, Italian
 - **Output Parameters:** One-Dimensional (1D): Sequences
+- **Maximum output size:** 1M tokens
 Our AI models are designed and 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.