{"id":291164,"date":"2024-11-06T13:47:41","date_gmt":"2024-11-06T12:47:41","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=343483"},"modified":"2025-07-01T15:46:42","modified_gmt":"2025-07-01T22:46:42","slug":"amd-fully-enters-ai-with-its-first-llm","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/amd-fully-enters-ai-with-its-first-llm\/","title":{"rendered":"AMD fully enters AI with its first LLM"},"content":{"rendered":"\n

AMD has introduced<\/a> its first series of large language models (LLM) with 1 billion parameters and open source, called AMD OLMo<\/a>, aimed at various applications and pre-trained on the company’s Instinct MI250 GPUs.<\/p>\n\n\n

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AMD’s open-source LLMs aim to improve the company’s position in the AI industry<\/strong> and enable its customers (and everyone) to deploy these open-source models with AMD hardware.<\/p>\n\n\n\n

By making the data, weights, training recipes, and code public, AMD aims to enable developers not only to reproduce the models but also to build upon them to continue innovating<\/strong>.<\/p>\n\n\n\n

Beyond use in data centers, AMD has enabled the local deployment of OLMo models on AMD Ryzen AI PCs equipped with neural processing units (NPUs), allowing developers to leverage AI models on personal devices.<\/p>\n\n\n\n

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Smol models ftw! @AMD<\/a> released AMD OLMo 1B – beats OpenELM, tiny llama on MT Bench, Alpaca Eval – Apache 2.0 licensed ?

> Trained with 1.3 trillion (dolma 1.7) tokens on 16 nodes, each with 4 MI250 GPUs

> Three checkpoints:

– AMD OLMo 1B: Pre-trained model
– AMD OLMo 1B SFT:\u2026 pic.twitter.com\/ae4pLzAKoA<\/a><\/p>— Vaibhav (VB) Srivastav (@reach_vb) November 2, 2024<\/a><\/blockquote>