GLM 5.2 NVFP4
GLM-5.2 is Z.ai's flagship model for long-horizon coding and agentic work, quantized to NVFP4 by NVIDIA for Blackwell GPUs: 753B total parameters with 40B active per token, sparse attention with IndexShare, a solid 1M-token context, configurable reasoning effort, and an MIT license.
Model
GLM-5.2 is a 78-layer Mixture-of-Experts model with 256 routed experts plus one shared expert and 8 experts active per token, giving 40B active parameters out of 753B total. It uses DeepSeek Sparse Attention with IndexShare, which reuses one lightweight indexer across every four sparse-attention layers to cut per-token FLOPs by 2.9x at 1M context, and an improved multi-token-prediction layer that lengthens speculative-decoding acceptance by up to 20%. Z.ai built it for long-horizon tasks: a 1M-token context that stays reliable across long coding-agent trajectories, stronger agentic coding than GLM-5.1, and reasoning effort levels of high and max to trade capability against latency and cost.
This checkpoint is NVIDIA's NVFP4 quantization of GLM-5.2, produced with NVIDIA Model Optimizer for Blackwell GPUs. Only the weights and activations of the linear operators inside the MoE experts are quantized to NVFP4; the shared expert and everything outside the expert linears are left unquantized, so the architecture and 1M-token context are unchanged from Z.ai's release. The model is text-in, text-out, and the weights are governed by the MIT license inherited from Z.ai's base model. Full details are in Z.ai's announcement and the model card.
Dedicated Endpoint
DocsA Dedicated Endpoint is your own deployment of GLM 5.2 NVFP4, on an inference stack that Modal tunes and autoscales. Bring fine-tuned weights if you have them. Compute is billed by the second, and only while it runs.
modal endpoint create --model nvidia/GLM-5.2-NVFP4