The mmangkad/GLM-5.2-NVFP4 model is the quantized version of ZAI’s GLM-5.2 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The mmangkad/GLM-5.2-NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA (GLM-5.2) Model Card from ZAI. Nvidia Model Optimizer: https://github.com/NVIDIA/Model-Optimizer Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications. Huggingface 06/20/2026 via https://huggingface.co/mmangkad/GLM-5.2-NVFP4 Architecture Type: Transformers Network Architecture: GLM-5.2 Number of Model Parameters: 754B in total and 40B activated Input Type(s): Text Input Format(s): String Input Parameters: One-Dimensional (1D) Other Properties Related to Input: Context length up to 1M Output Type(s): Text Output Format: String Output Parameters: 1D (One-Dimensional): Sequences Other Properties Related to Output: None Our…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: mmangkad
Теги: Model Optimizer, glm_moe_dsa, nvidia, ModelOpt, quantized, 4-bit precision, FP4, fp4
Лайков: 3 | Загрузок: 33
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
