Build with Llama on watsonx
Leverage an advanced AI infrastructure, then deploy across cloud, hybrid or on-premises environments.
Enable governance, streamline the AI model lifecycle, and foster collaboration across teams.
Find tailored engagement strategies for your enterprise, with the latest models tested and available from day one.
Use IBM® watsonx.ai® to develop and deploy applications with application programming interfaces (APIs), tools and models—turning ideas into reality.
Llama models available on watsonx.ai
A compact multimodal model optimized for efficiency, capable of handling text and images.
A high-performance multimodal model that utilizes a mixture-of-experts architecture for optimized resource use.
A 70-billion-parameter text-only model optimized for commercial hardware, used for text generation and coding tasks.
A 90-billion-parameter multimodal model capable of processing both images and text, designed for advanced AI applications such as augmented reality and visual search.
An 11-billion-parameter multimodal model that processes images and text, suitable for real-time applications and edge devices.
An 11-billion-parameter vision model focused on safety and content moderation, capable of analyzing images and text for harmful content.
A lightweight 1-billion-parameter text-only model optimized for multilingual dialogue and tasks such as summarization—suitable for mobile devices.
A 3-billion-parameter text-only model designed for multilingual dialogue and summarization tasks, balancing performance and efficiency.
A large 405-billion-parameter text-only model optimized for multilingual dialogue, offering high performance for complex tasks.
Our clients
Sevilla FC
Delivered a generative AI tool built on watsonx® that leverages multiple large language models (LLMs), including Llama 3. This tool helps to enhance player scouting by generating curated candidate lists, summarizing scouting reports and integrating deep performance data.
Dun & Bradstreet
Enhanced supplier risk evaluation using AI-powered automation, streamlined procurement processes, reduced manual effort and improved decision-making efficiency for businesses by 20%.
AddAI
Reduced unanswered client queries by 50% and enhanced Czech-language customer interactions with AI-driven Q&A chatbot.
The Recording Academy
Delivered next-generation digital experiences that included making the ticketing process 80% more efficient: amplified content for 200+ artists with instant, AI-generated stories.
yappyBuy
Peter Hattingh, CEO of yappyBuy GmbH, talks about partnering with IBM to design an AI assistant solution for e-commerce.
Benete
Improved the quality of elderly care by equipping elder care professionals with real-time, actionable insights, enabling more informed and timely decision-making.
Resources
In this step-by-step tutorial, build a fitness app with an AI coach to create a customized training plan using Llama 4 models on watsonx.ai.
Hear from IBM engineers and product managers how IBM achieved a Day 0 launch, followed by a demo of Llama 4 on watsonx.ai.
Apply a Llama vision model on watsonx.ai to computer vision tasks such as image captioning and visual question answering.
The updated Llama model offers performance comparable to the popular Llama 3.1 405B model, at a significantly lower cost.