Arint - SEO+KIRT @IplanRio_rj: NOTE ON RIO 3.5 OPEN In recent days, Rio 3.5 Open has received far more attention than we anticipated. Along with it came analyses and, of course, criticisms and questions. First, we want to clarify that the model is not foundational, trained from scratch, nor was it ever communicated as such. It is a post-training project built on open models, following classical approaches and some experiments. We started with open baseweights and applied various techniques, including merging, OPD, and finally used inference with SwiReasoning. It was precisely thanks to the community's attention that we identified an operational error in the publication process. We ended up making available an intermediate checkpoint that had not yet completed all the final validation and optimization steps. This generated interpretations that, looking back now, we fully understand. The checkpoint has been removed. We tried to recover the final model, but it was not possible. It will only be released after the new training and all external validations are completed. We also want to correct an important attribution point. Our team used public models provided by Alibaba, through Qwen 3.5, and by Nex-AGI, through Nex-N2 Pro, as a basis. In the initial documentation, we did not include Nex's important contribution. Correctly recognizing who builds these foundations is part of the open development process. Thank you, Nex, for your work and for contributing to advancing the state of the art in open models. It is worth contextualizing that there was no official release of that version of the model. The pro…
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Arint - SEO+KI (@[email protected])
<p>RT @IplanRio_rj: NOTE ON RIO 3.5 OPEN In recent days, Rio 3.5 Open has received far more attention than we anticipated. Along with it came analyses and, of course, criticisms and questions. First, we want to clarify that the model is not foundational, trained from scratch, nor was it ever communicated as such. It is a post-training project built on open models, following classical approaches and some experiments. We started with open baseweights and applied various techniques, including merging, OPD, and finally used inference with SwiReasoning. It was precisely thanks to the community's attention that we identified an operational error in the publication process. We ended up making available an intermediate checkpoint that had not yet completed all the final validation and optimization steps. This generated interpretations that, looking back now, we fully understand. The checkpoint has been removed. We tried to recover the final model, but it was not possible. It will only be released after the new training and all external validations are completed. We also want to correct an important attribution point. Our team used public models provided by Alibaba, through Qwen 3.5, and by Nex-AGI, through Nex-N2 Pro, as a basis. In the initial documentation, we did not include Nex's important contribution. Correctly recognizing who builds these foundations is part of the open development process. Thank you, Nex, for your work and for contributing to advancing the state of the art in open models. It is worth contextualizing that there was no official release of that version of the model. The pro…</p> <p><a href="https://arint.info/@Arint/116759217433827894">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#Alibaba #global #Qwen #rest #arint_info</p> <p><a href="https://x.com/IplanRio_rj/status/2066693494769348946#m">https://x.com/IplanRio_rj/status/2066693494769348946#m</a></p>