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Nemotron Cascade 8B Thinking

NVIDIA · 2025-12-08 · 8.2B parameters

Nemotron Cascade 8B Thinking is NVIDIA's open-weight reasoning-only model post-trained from Qwen3-8B-Base with SFT and sequential, domain-wise reinforcement learning (Cascade RL), released on December 8, 2025. 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.

Benchmark scores

BenchmarkScore
AIME 202488.8
AIME 202581.4
BFCL v3 Overall Accuracy67.0
Capability133.3
GPQA Diamond66.7
IFBench - release-reported instruction following41.4
IFEval83.7
LiveCodeBench - August 2024 to February 202574.5
LiveCodeBench - August 2024 to May 202571.4
MMLU84.0
MMLU Pro75.5
SWE-bench Verified38.5
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