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.

Usage

Here is a snippet below for usage with Transformers:

License

This repository and the model weights are licensed under the Llama 4 Community License Agreement (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.

Arijit-09/RoadXpert_AI-v1

RoadXpert-AI-V1-109B MoE

Evaluations

Usage

License

Contact

Arijit-09/
RoadXpert_AI-v1