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The IBM Granite 4.1 family of models

a day ago
  • #Enterprise AI
  • #IBM Granite
  • #AI Models
  • IBM released the Granite 4.1 family of models, their most expansive model release to date, covering language, vision, speech, embedding, and guardian models tailored for enterprise workloads.
  • The Granite 4.1 language models (3B, 8B, 30B parameters) outperform previous versions and compete with open-source models in instruction following and tool calling, with a focus on efficiency and cost-effectiveness for enterprise use.
  • Granite Vision 4.1 is a vision-language model designed for document understanding, excelling in table, chart, and key-value pair extraction, offering a cost-effective alternative to frontier models.
  • Granite Speech 4.1 includes multilingual speech recognition and translation models, with variants for different throughput and latency tradeoffs, achieving top performance on benchmarks like the OpenASR Leaderboard.
  • Granite Guardian 4.1 serves as a moderator model for AI safety, evaluating inputs and outputs for risks such as bias, hate speech, and hallucinations, and is compatible with any language model.
  • Granite Embedding Multilingual R2 supports retrieval in over 200 languages with increased context length, providing state-of-the-art semantic search capabilities for multilingual document collections.
  • All Granite 4.1 models are released under an Apache 2.0 license and are optimized for deployment on platforms like watsonx and Hugging Face, as well as open-source inference runtimes.
  • The release emphasizes a system-level approach to enterprise AI, focusing on modular, efficient, and governable AI systems that integrate multiple models and capabilities for real-world applications.