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IBM Granite 4.0

IBM's open hybrid Mamba-2/Transformer family under Apache 2.0 — ISO 42001 certified.

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About

Open-sourced October 2, 2025, Granite 4.0 is IBM's first departure from pure transformers: a hybrid architecture interleaving Mamba-2 state-space layers with a minority of attention layers in a 9:1 ratio, with no positional encodings. The family spans Nano (350M/1B, browser-capable) to H-Small (32B total, 9B active MoE), all under Apache 2.0. IBM claims over 70% less memory for long-context and multi-session inference versus conventional transformers, trained on 22T tokens with context validated to 128K. Notably, Granite is the first open model family to receive ISO 42001 certification, with cryptographically signed checkpoints and a HackerOne bug bounty up to $100,000.\n\nLimitations: it is enterprise-positioned rather than benchmark-leading — it won't top reasoning leaderboards against frontier models. The 9:1 hybrid is a newer recipe with less community fine-tuning support than Llama/Qwen. Some sizes launched in public beta, with Medium and Thinking variants arriving later in 2025.

Specs

Context window

128K tokens (validated; trained to 512K)

Pricing

Free weights under Apache 2.0; managed via watsonx.ai

Free quota

Weights free forever under Apache 2.0

API access

Hugging Face, watsonx.ai, Ollama, LM Studio, Docker

Weights

Open weights

Released

October 2, 2025

Benchmarks

IBM-reported: 70%+ memory reduction vs transformers; Nano H-1B 78.5 IFEval

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

enterpriseefficient-inferenceedgefunction-callingresearch

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 50; Trending score 76/100 from researcher assessment.

Sources