Reasoning weights with a permissive license.

Dates and assessment

Source published

2026-08-25

Bright published

2026-09-19

Substantive update

None recorded

Evidence state

Deployed

Independent verification

Not established by this source review

Last source review

2026-09-19

The claim in context

The human problem

Teams need models they can inspect, adapt, and deploy under clear terms without sending every task to a hosted service.

The prior constraint

Many capable models expose only an API or weights with restrictions that complicate reuse.

AI’s actual role

The models generate text, reason over prompts, and call tools in developer-built systems.

The documented result

Weights and model cards are publicly available in three sizes under Apache-2.0. Capability and benchmark claims are IBM-reported, not deployment outcomes.

Why it may matter

A permissive release gives researchers and organizations more practical control over deployment and adaptation.

Limitations

• Released weights do not disclose every training datum or guarantee full reproducibility.
• The 30B model still requires substantial hardware.
• Benchmarks do not establish reliability in a particular real-world workflow.

Original evidence

• Granite 4.2 brings native reasoning to enterprise agents · institution
• ibm-granite/granite-4.2-30b · repository

Attribution

Credit Bright AI Future and link the canonical Bright record.

• Link to the canonical Bright record.
• Keep material limitations with the claim they qualify.
• Link to the original evidence when repeating a substantive claim.
• Do not describe a source check or organization-reported result as independent verification.

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