Z.ai Releases GLM 5.2 Open Weights Model With Post-Training Code
Chinese AI firm Z.ai released the GLM 5.2 model with open weights, making the code and training pipeline available to developers. The post-training release includes code for training using Megatron-LM, a widely adopted framework for large-scale distributed training, and SGLang, a high-throughput inference engine used for generating model rollouts.
The open-source availability of the post-training code allows researchers and builders to inspect, modify, and extend the alignment and reinforcement learning steps typically used to fine-tune models. The code is shared under the MIT license, granting commercial and academic users broad rights to adapt the model's training and rollout architecture for their own applications.
From the sources (1 posts)
@algo_diverRT @VukRosic99: GLM 5.2 post-training code is OPEN SOURCE (slime) Megatron-LM trains. SGLang generates the rollouts. A single data buffer…