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Granite 4.0 H Small

IBM · 2025-10-02 · 32.2B parameters

Granite 4.0 H Small is IBM's long-context instruction-tuned Granite 4.0 model, with 32,207,337,984 checkpoint parameters and a hybrid architecture comprising 36 Mamba-2 layers, four grouped-query-attention layers, and fine-grained mixture-of-experts feed-forward blocks; IBM reports approximately 9 billion active parameters. IBM positions it for enterprise agentic workflows such as multi-tool agents and RAG and reports over 70% lower RAM requirements for long inputs and concurrent batches than conventional Transformer models. Its weights are released under Apache 2.0, and it belongs to the Granite language-model family covered by IBM's ISO/IEC 42001 certification.

Benchmark scores

BenchmarkScore
AA-LCR9.0
AA-Omniscience Index-60.9
AIME 202513.7
Artificial Analysis Intelligence Index5.2
Artificial Analysis Omniscience Accuracy14.4
Artificial Analysis Omniscience Hallucination Rate87.9
Artificial Analysis Openness Index55.6
Capability120.0
CritPt0.0
GPQA Diamond41.6
Humanity's Last Exam (Text-Only)3.7
IFBench (Artificial Analysis)31.5
LiveCodeBench (Artificial Analysis)25.1
MMLU Pro62.4
SciCode (Artificial Analysis)20.9
Terminal-Bench Hard2.3
τ²-bench (Telecom)17.3
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