Introducing Instella: New State-of-the-art Fully Open 3B Language Models — ROCm Blogs
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AMD is excited to announce Instella, a family of fully open state-of-the-art 3-billion-parameter language models (LMs). , In this blog we explain how the Instella models were trained, and how to access them.

This is again a big win on the red team at least for me. They developed a “fully open” 3B parameters model family trained from scratch on AMD Instinct™ MI300X GPUs.

AMD is excited to announce Instella, a family of fully open state-of-the-art 3-billion-parameter language models (LMs) […]. Instella models outperform existing fully open models of similar sizes and achieve competitive performance compared to state-of-the-art open-weight models such as Llama-3.2-3B, Gemma-2-2B, and Qwen-2.5-3B […].

As shown in this image (https://rocm.blogs.amd.com/_images/scaling_perf_instruct.png) this model outperforms current other “fully open” models, coming next to open weight only models.

A step further, thank you AMD.

PS : not doing AMD propaganda but thanks them to help and contribute to the Open Source World.

  • foremanguy@lemmy.mlOPEnglish
    20·
    13 hours ago

    Instead of the traditional open models (like llama, qwen, gemma…) that are only open weight, this model says that it has :

    Fully open-source release of model weights, training hyperparameters, datasets, and code

    Making it different from other big tech “open” models. Tough it exists other “fully open” models like GPT neo, and more