GLGLM-5.2
GLM-5.2
Model Overview
GLM-5.2 is a 753.3B-parameter Mixture-of-Experts text generation model developed by zai-org. Built on the GlmMoeDsaForCausalLM architecture. Supports en, zh. Released on 2026-06-16.
📊 Quick Specs
| Specification | Value |
|---|---|
| Parameters | 753.3B |
| Architecture | GlmMoeDsaForCausalLM |
| Task | text generation |
| Modality | text |
| License | MIT |
| Framework | transformers |
| MoE | Yes |
| Languages | en, zh |
✨ Key Features
- 753.3B parameters with sparse MoE architecture for efficient inference
- Built on GlmMoeDsaForCausalLM architecture (transformers)
- Primary task: text generation (text modality)
- Language support: en, zh
- Open-weights under MIT license — self-hostable and fine-tunable
- High adoption: 667,403 downloads on Hugging Face
📈 Community Adoption
- 4,422 likes on Hugging Face
- 667,403 downloads on Hugging Face
🔗 Resources
- Hugging Face Hub: GLM-5.2 on Hugging Face
- Paper: arXiv
📜 License & Access
MIT — Open-weights model available for download, fine-tuning, and self-hosted deployment.
Key Features
753.3B parameters with sparse MoE architecture for efficient inference
Built on GlmMoeDsaForCausalLM architecture (transformers)
Primary task: text generation (text modality)
Language support: en, zh
Open-weights under MIT license — self-hostable and fine-tunable
High adoption: 667,403 downloads on Hugging Face
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Verified Sources
Tags
Model Specs
Parameters
753.3B
Context Window
unknown
License
MIT
Deployment
Resources & Links
Curator Notes
Auto-ingested from HuggingFace Trending on 2026-07-25. Architecture: GlmMoeDsaForCausalLM. Params: 753.3B. License: MIT.
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