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Aana
Fresh from the Lab - Our Latest Blogposts
NEW
Re-Distilling Smaller DeepSeek R1 Models for Better Performance
Learn how we enhanced DeepSeek R1 distilled models using logits distillation—achieving +4-14% gains on GSM8K while keeping training costs as low as $3-$18 per run!
NEW
Accelerating LLM Inference with GemLite, TorchAO, and SGLang
Our collaboration with the PyTorch team and the SGlang team at LMSysOrg to integrate GemLite into TorchAO and SGLang—unlocking faster and more efficient LLM inference.
Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE). In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.
Aana
Fresh from the Lab - Our Latest Blogposts
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NEW
Re-Distilling Smaller DeepSeek R1 Models for Better Performance
Learn how we enhanced DeepSeek R1 distilled models using logits distillation—achieving +4-14% gains on GSM8K while keeping training costs as low as $3-$18 per run!
NEW
Accelerating LLM Inference with GemLite, TorchAO, and SGLang
Our collaboration with the PyTorch team and the SGlang team at LMSysOrg to integrate GemLite into TorchAO and SGLang—unlocking faster and more efficient LLM inference.
Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE). In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.