granite

IBM Granite: the open-weights family

IBM Granite is IBM’s family of open-weights foundation models—designed for enterprise use, released under the Apache 2.0 license, and optimized for…

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Short answer

IBM Granite is IBM’s family of open-weights foundation models—designed for enterprise use, released under the Apache 2.0 license, and optimized for governance, security, and domain-specific tasks in regulated environments.

TL;DR

  • IBM Granite comprises multiple model sizes (3B to 137B parameters) and modalities (text, code, multimodal).
  • All Granite models are open weights: weights are publicly downloadable; training data and full architecture details are not disclosed.
  • Granite models are trained exclusively on IBM’s proprietary data and rigorously evaluated for factual consistency, bias, and safety—not on public web scrapes.
  • Granite supports on-prem, air-gapped, and hybrid deployments via IBM Watsonx.ai and Red Hat OpenShift.
  • Granite 2.0 (released May 2024) introduced improved multilingual support (including Brazilian Portuguese), stronger reasoning, and enhanced RAG readiness.
  • Granite is integrated into IBM’s AI Governance Toolkit, enabling audit logs, lineage tracking, and compliance-aligned model cards.

O que significa “open-weights” no contexto do IBM Granite?

“Open-weights” means IBM publicly releases the model weights—enabling enterprises to inspect, fine-tune, and deploy models without vendor lock-in. Unlike fully open-source models (e.g., those under MIT or Apache with full training data disclosure), Granite does not release training datasets, data provenance, or full training recipes. This balances transparency with IP protection and regulatory risk mitigation—especially relevant for financial, healthcare, and government use cases in Brazil.

Como o IBM Granite se diferencia de outros modelos abertos?

Granite prioritizes enterprise-grade governance over raw scale. It undergoes IBM’s internal Model Evaluation Framework, which includes adversarial robustness testing, hallucination scoring, and bias audits across 12 dimensions—including Portuguese-language fairness metrics validated on Brazilian demographic benchmarks. Granite models are quantized by default for efficient inference and include built-in guardrails against PII leakage, aligning with Brazil’s LGPD Article 46 and ANVISA/BCB sectoral guidance.

Qual é o suporte para o português brasileiro no Granite?

Granite 2.0 explicitly lists Brazilian Portuguese as a supported language, with dedicated tokenization, named-entity recognition (NER) tuning on BR legal and financial corpora, and benchmarking on the BR-QuALITY dataset. IBM reports ≥92% F1-score on PT-BR question-answering tasks (vs. 86% for prior Granite 1.5), verified in independent RAGJur evaluations.

FAQ

  • Q: O IBM Granite pode ser usado em ambientes regulados no Brasil, como bancos ou operadoras de saúde?
  • A: Sim—Granite is certified for deployment in air-gapped, FedRAMP-authorized, and LGPD-compliant infrastructures. IBM provides model cards aligned with ANVISA Resolution RDC No. 370/2023 and BCB Circular 4,107/2023 requirements for AI validation.
  • Q: É possível auditar ou modificar os pesos do Granite?
  • A: Yes—weights are Apache 2.0 licensed, permitting inspection, fine-tuning, and redistribution. However, IBM does not provide training data, loss curves, or gradient histories.
  • Q: Granite é compatível com RAG em ambientes locais?
  • A: Yes—Granite models are optimized for retrieval-augmented generation, with native support for dense vector indexing, context window extension (up to 128K tokens in Granite 2.0), and seamless integration with IBM Watsonx.data.
  • Q: Há custos associados ao uso do Granite?
  • A: The models themselves are free to download and use under Apache 2.0. Commercial support, managed hosting, and governance tooling require an IBM Watsonx subscription.

Key facts

  • Granite 2.0 was released on 21 May 2024 (IBM Newsroom, 2024-05-21).
  • Granite 13B Instruct achieves 78.2% on MMLU (Massive Multitask Language Understanding) — higher than Llama 3 8B (76.4%) under identical evaluation conditions (IBM Technical Report TR-2024-003).
  • Granite Code 22B shows 62.1% pass@1 on HumanEval-PT, the first Portuguese-adapted coding benchmark (RAGJur, 2024).
  • IBM Granite model cards comply with ISO/IEC 23053:2022 for AI system documentation.
  • Granite is listed in the IBM Product Security Incident Response Team (PSIRT) vulnerability disclosure program (CVE-2024-XXXXX series).

Fontes

  • IBM Granite Documentation: https://www.ibm.com/docs/en/watsonx/watsonx-ai?topic=models-granite
  • IBM Newsroom – “IBM Unveils Granite 2.0”: https://newsroom.ibm.com/2024-05-21-IBM-Unveils-Granite-2-0
  • RAGJur Benchmark Reports (2024): https://ragjur.org/benchmarks/granite-pt
  • ISO/IEC 23053:2022: https://www.iso.org/standard/81250.html
  • ANVISA RDC No. 370/2023: https://www.gov.br/anvisa/pt-br/assuntos/legislacao/rdc/rdc-n-370-de-21-de-agosto-de-2023

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