Atlas

Models

← All models

Granite 4.0 350M

IBM · 2025-10-28 · 352M parameters

Granite 4.0 350M is IBM's instruction-tuned, text-only 352,379,904-parameter Nano model, fine-tuned from Granite 4.0 350M Base with supervised fine-tuning, reinforcement learning, and model merging. It is a dense decoder-only Transformer with grouped-query attention and a 32,768-token context window, offered as the traditional-Transformer alternative for runtimes where Mamba-2 support is not optimized. IBM positions the Nano family for edge and on-device deployment, and releases the weights under Apache 2.0.

Benchmark scores

BenchmarkScore
AA-LCR0.0
AA-Omniscience Index-72.2
AIME 2025 (Artificial Analysis avg@10)0.0
Artificial Analysis Intelligence Index1.0
Artificial Analysis Omniscience Accuracy3.2
Artificial Analysis Omniscience Hallucination Rate77.8
Artificial Analysis Openness Index55.6
BFCL v4 Overall Accuracy19.0
Capability99.6
CritPt (avg@5)0.0
GPQA Diamond (Artificial Analysis avg@5)26.1
Humanity's Last Exam (Text-Only)5.7
IFBench (Artificial Analysis)15.9
LiveCodeBench (Artificial Analysis)2.4
SciCode (Artificial Analysis avg@3)0.9
Terminal-Bench Hard0.0
τ²-bench (Telecom)13.2
Loading Atlas data…