IBM Granite Models are a family of enterprise-ready, open foundation models that support multilingual capabilities, coding, retrieval-augmented generation (RAG), tool use, thinking and structured JSON output. Released under Apache 2.0 license.
IBM Granite Models are a family of enterprise-ready, open foundation models that support multilingual capabilities, coding, retrieval-augmented generation (RAG), tool use, and structured JSON output. Released under Apache 2.0 license.
Granite Guardian 4.1 is a specialized safety and judging model from IBM Research that evaluates whether LLM prompts and responses meet specified harm criteria.
Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.
The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.
IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.
A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.
A family of open foundation models by IBM for Code Intelligence
The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.
The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.
The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.
Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.
The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.
A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.
UNCENSORED (Abliterated + SecOps LoRA) — IBM Granite 4.2 Uncensored (8B Compact & 30B Flagship 128K Editions: :8b, :30b-q3, :30b, :30b-q6, :30b-q8) — Trained & Orthogonally Abliterated by Erik Tonon.