zai-org / text-generation updated 2 weeks ago

GLM-5.2

Name: GLM-5.2
Author: zai-org

👋 Join our WeChat or Discord community. 📖 Check out the GLM-5.2 blog and GLM-5 Technical report. 📍 Use GLM-5.2 API services on Z.ai API Platform. 🔜 Try GLM-5.2 here.

Params

753.3 B

Context

1,048,576

Downloads 30d

962 K

Likes

5,126

Commercial use: allowed mit Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 56 days

▲ 1.8 M in the last 30 days (65.3%)

2.8 M932 K

Jul 28Aug 15Sep 3Sep 21

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	1,506.7 GB	1,770.8 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	1,506.7 GB	16,121.8 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/glm-5-2
{
  "hf_id": "zai-org/GLM-5.2",
  "params_b": 753.33,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 961717,
  "vram_estimates": [
    { "quant": "bf16", "gb": 1770.8 }
  ],
  "updated_at": "2026-09-02T01:00:12Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: GlmMoeDsaForCausalLM
Parameters: 753.3 B
Tensor type: BF16
Context length: 1,048,576
Vocabulary: 154,880
Layers / heads: 78 / 64
Licence: mit
First seen on the Hub: 2026-06-16
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Derivative GLM-5.2-NVFP4 nvidia 751 K Derivative GLM-5.2-GGUF unsloth 352 K Derivative GLM-5.2-AWQ-INT4 cyankiwi 196 K

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