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What is Quantization? | IBM

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Artificial IntelligenceBryan Clarklarge language models (LLMs)Subscribe todaymachine learningdeep-learningGo to episodeUpcoming webinar - May 20, 2026 Upcoming webinar on AI‑native development Engineering teams are strained by legacy tools and tech debt. Discover how an AI‑native SDLC helps teams move faster while reducing risk. Join nowIBV Report The enterprise in 2030: Engineered for perpetual innovation Discover our five predictions about what will define the most successful enterprises in 2030 and the steps leaders can take to gain an AI-first advantage. Read the reportAI models Explore IBM Granite Discover IBM Granite®, our family of open, performant and trusted AI models, tailored for business and optimized to scale your AI applications. Explore language, code, time series and guardrail options. Meet GraniteTechsplainers podcast Large language models explained Techsplainers by IBM breaks down the essentials of LLMs, from key concepts to real‑world use cases. Clear, quick episodes help you learn the fundamentals fast. Listen nowEbook How to choose the right foundation model Learn how to select the most suitable AI foundation model for your use case. Read the ebookArticle Discover the power of LLMs Dive into IBM Developer articles, blogs and tutorials to deepen your knowledge of LLMs. Explore the articlesGuide The CEO’s guide to model optimization Learn how to continually push teams to improve model performance and outpace the competition by using the latest AI techniques and infrastructure. Read the guideReport A differentiated approach to AI foundation models Explore the value of enterprise-grade foundation models that provide trust, performance and cost-effective benefits to all industries. Read the reportEbook Unlock the power of generative AI and ML Learn how to incorporate generative AI, machine learning and foundation models into your business operations for improved performance. Read the ebookDiscover watsonx OrchestrateExplore IBM Bobhttps://arxiv.org/pdf/2406.19657v2https://arxiv.org/pdf/1712.05877v1https://ieeexplore.ieee.org/document/10499664https://research.ibm.com/publications/ultra-low-precision-4-bit-training-of-deep-neural-networkshttps://arxiv.org/pdf/2208.07339https://arxiv.org/pdf/2103.13630https://arxiv.org/pdf/2004.09602https://arxiv.org/pdf/2403.06408v1https://arxiv.org/pdf/2306.07629v4

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