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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

BenchmarkScore
AIME 202489.5
AIME 202580.1
BFCL v3 Overall Accuracy64.4
Capability135.4
GPQA Diamond66.5
IFBench - release-reported instruction following40.8
IFEval90.2
LiveCodeBench - August 2024 to February 202574.3
LiveCodeBench - August 2024 to May 202571.1
MMLU83.7
MMLU Pro75.7
SWE-bench Verified37.2
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