Cleveris Research

Advancing the frontier of artificial intelligence through open research and collaborative innovation.

Cleveris Releases

# Project Name Type Details Release Date Size
0 LV Agent Agent Local-first autonomous agent powered by Claude Code. Run any model, keep your data, open-source and free. 06/10/25 252 MB
1 Super IDE IDE AI-native development environment. Coding agent that runs your projects end to end. 06/10/25 Online Demo
2 Cleveris Math 1 Model Under development. 04/15/25 N/A
3 CANCRI // 55-E (巨蟹座) Agent AI chat terminal with multi-model routing and local vector memory. Auto-routes Gemini / Mistral models, IndexedDB semantic memory, supports text / image / OCR / document multimodal input and real-time voice chat. 06/15/25 N/A
4 Cleveris 4 Technical Report Paper Comprehensive technical report detailing architecture, training methodology, and evaluation results. 04/05/25 N/A
5 Cleveris-4-Llama-3.1-405B Model Frontier hybrid-mode reasoning model based on Llama-3.1-405B. 04/01/25 810 GB
6 Cleveris-4-Llama-3.1-70B Model Smaller hybrid-mode reasoning model with 70B parameters. Shares the same improvements as the 405B variant. 03/28/25 140 GB
7 Cleveris-4-14B Model Small and dense Cleveris variant for local inference. 03/25/25 28 GB
8 Measuring Thinking Efficiency in Reasoning Models Research The Missing Benchmark for evaluating reasoning efficiency in large language models. 03/20/25 N/A
9 Cleveris 3 Dataset Dataset Complete dataset used in pretraining of Cleveris 3 models. 03/15/25 N/A
10 Sequential Monte Carlo for LLMs Research Taming LLMs with Sequential Monte Carlo methods. 03/10/25 N/A
11 Cleveris Network Training Open infrastructure democratizing AI development through distributed training. 03/05/25 N/A
12 Atropos Framework Framework Language Model RL Environments for advanced reinforcement learning research. 03/01/25 N/A

About Cleveris Research

Cleveris Research is dedicated to advancing artificial intelligence through open research, collaborative development, and transparent publication of our findings. We believe that AI should be developed in the open, with contributions from researchers worldwide.

Our work spans foundation models, reasoning systems, autonomous agents, and the infrastructure needed to train them at scale. We publish our models, datasets, and research papers to accelerate progress in the field.