X-R1: Open-Source Reasoning Model Exploration

Fri, 01 May 2026 00:00:00 +0000

The revelation that language models could develop sophisticated reasoning capabilities through reinforcement learning – without human demonstrations – was one of the most surprising results in AI research of 2024 and 2025. DeepSeek R1 showed that models trained with RL could learn to think step by step, producing chain-of-thought reasoning that dramatically improved performance on mathematical, logical, and coding tasks. X-R1 is an open-source project that explores these techniques, aiming to reproduce, understand, and extend the reasoning-through-RL paradigm.

Developed by researcher dhcode-cpp, X-R1 implements the key techniques from the DeepSeek R1 and related papers, making them accessible for experimentation with open-source models. The project provides training scripts, reward function implementations, and evaluation pipelines that researchers can use to investigate how RL shapes reasoning behavior in language models.

X-R1 on SoloSoft

X-R1: Open-Source Reasoning Model Exploration