--- license: llama4 library_name: transformers base_model: - meta-llama/Llama-4-Scout-17B-16E ---

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# RoadXpert-AI-V1-109B MoE [Blog Post](https://www.deepcogito.com/research/cogito-v2-preview) The Cogito v2 LLMs are instruction tuned generative models. All models are released under an open license for commercial use. - Cogito v2 models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models). - The LLMs are trained using **Iterated Distillation and Amplification (IDA)** - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement. - The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts. - In both standard and reasoning modes, Cogito v2-preview models outperform their size equivalent counterparts on common industry benchmarks. - This model is trained in over 30 languages and supports long contexts (upto 10M tokens). # Evaluations Here is the model performance on some standard industry benchmarks:

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For detailed evaluations, please refer to the [Blog Post](https://www.deepcogito.com/research/cogito-v2-preview). # Usage Here is a snippet below for usage with Transformers: ```python ``` ## License This repository and the model weights are licensed under the [Llama 4 Community License Agreement](https://github.com/meta-llama/llama-models/blob/main/models/llama4/LICENSE) (Llama models' default license agreement). All fine-tuning, dataset curation, and optimization have been performed by **Arijit Rakshit (2025)** and others. ## Contact If you would like to reach out to our team, send an email to [contact@deepcogito.com](contact@deepcogito.com).