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Granite 4.0 Micro

IBM · 2025-10-02 · 3.4B parameters

Granite 4.0 Micro is IBM's 3.4-billion-parameter, long-context instruct model, fine-tuned from Granite-4.0-Micro-Base and built as a decoder-only dense Transformer with GQA, RoPE, SwiGLU, and RMSNorm. IBM positions this conventional-attention variant as an alternative when Mamba2 support is not optimized (for example, llama.cpp and PEFT); its documented capabilities include instruction following, tool calling, RAG, code tasks, and multilingual dialogue. The weights are released under Apache 2.0 as part of the ISO 42001-certified Granite 4.0 family.

Benchmark scores

BenchmarkScore
AA-LCR4.0
AA-Omniscience Index-77.9
AIME 20256.0
Artificial Analysis Intelligence Index2.4
Artificial Analysis Omniscience Accuracy9.0
Artificial Analysis Omniscience Hallucination Rate95.5
Artificial Analysis Openness Index55.6
BuseyBench SVG0.3
Capability109.3
CritPt0.0
GPQA Diamond33.6
Humanity's Last Exam (Text-Only)5.1
IFBench (Artificial Analysis)24.8
LiveCodeBench (Artificial Analysis)18.0
SciCode (Artificial Analysis)11.9
SnakeBench Average Apples0.3
SnakeBench Best Apples1.0
SnakeBench Rating0.7
SnakeBench Total Apples6.0
SnakeBench Win Rate11.1
Terminal-Bench Hard1.5
τ²-bench (Telecom)12.6
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