Nemotron Cascade 8B
NVIDIA · 2025-12-08 · 8.2B parameters
Nemotron Cascade 8B is NVIDIA's open-weight general-purpose model post-trained from Qwen3-8B-Base with sequential, domain-wise reinforcement learning (Cascade RL) after SFT; a single checkpoint operates in both thinking and instruct (non-reasoning) modes. The BF16 checkpoint contains 8,190,735,360 parameters in the Qwen3 dense architecture (36 layers, GQA) with a 32,768-token native context that NVIDIA extends to 64K with YaRN for evaluation. The card documents a December 8, 2025 release, although the Hugging Face repository was created on December 16, 2025.
Benchmark scores
| Benchmark | Score |
|---|---|
| AIME 2024 | 89.5 |
| AIME 2025 | 80.1 |
| BFCL v3 Overall Accuracy | 64.4 |
| Capability | 135.4 |
| GPQA Diamond | 66.5 |
| IFBench - release-reported instruction following | 40.8 |
| IFEval | 90.2 |
| LiveCodeBench - August 2024 to February 2025 | 74.3 |
| LiveCodeBench - August 2024 to May 2025 | 71.1 |
| MMLU | 83.7 |
| MMLU Pro | 75.7 |
| SWE-bench Verified | 37.2 |