zai-org/GLM-4.5-Air

text-generation model by zai-org

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The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total parameters and 12 billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications. Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development. As demonstrated…

zai-org/GLM-4.5-Air on Hugging Face A short preview, not the full document.

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  1. GLM-4.5-Air
  2. Model Introduction
  3. Quick Start

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Model overview

zai-org/GLM-4.5-Air is a text-generation model repository published by zai-org on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
1,375,836
Cumulative likes
649
Hugging Face trending score
0
Reported safetensors parameters
110,468,824,832
Architecture
Glm4MoeForCausalLM
License
mit
Access
Not gated by Hugging Face
Created
2025-07-20T03:25:55.000Z
Last modified
2025-08-11T13:25:37.000Z

Compatibility and lineage

Reported languages: en, zh

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.

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