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SAGE Celer 2.6 Technical Card

arXiv:2604.1416858.2h-index: 3
AI Analysis

For researchers and practitioners needing efficient, multilingual, and multimodal models, SAGE Celer 2.6 offers strong performance in South Asian languages without sacrificing English reasoning.

SAGE Celer 2.6 introduces a new model family with sizes 5B, 10B, and 27B, featuring an Inverse Reasoning pipeline to reduce hallucination and a native multimodal vision encoder, achieving competitive results on mathematics, coding, and general intelligence benchmarks while optimizing for South Asian languages.

We introduce SAGE Celer 2.6, the latest in our line of general-purpose Celer models from SAGEA. Celer 2.6 is available in 5B, 10B, and 27B parameter sizes and benefits from extensive architectural modifications and further pre-training on an undisclosed model. Using our Inverse Reasoning (IR) pipeline, SAGEA natively trains Celer 2.6 to validate its own logic paths, minimizing cascading error and hallucination in complex reasoning tasks. Celer 2.6 also boasts natively integrated multimodal functionality with an end-to-end vision encoder to avoid common pitfalls in adapter-based approaches. Celer 2.6 provides highly competitive results on mathematics, coding, and general intelligence benchmarks (ACUMEN), along with low latency. Most importantly, Celer 2.6 is specifically optimized for South Asian language support, with a custom tokenizer for the Devanagari script and strong performance in both Nepali and Hindi without sacrificing English reasoning ability.

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