zai-org / text-generation Open weights updated 2 months ago

GLM-5.2-FP8

Name: GLM-5.2-FP8
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

132 K

Likes

269

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

Download history

daily snapshots · 106 days

▲ 161 K in the last 30 days (54.9%)

3.1 M132 K

Jul 28Sep 1Oct 6Nov 10

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	f8_e4m3	755.6 GB	944.7 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	755.6 GB	15,295.6 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-fp8
{
  "hf_id": "zai-org/GLM-5.2-FP8",
  "params_b": 753.33,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 132226,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 944.7 }
  ],
  "updated_at": "2026-09-02T01:00:10Z"
}

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

Specifications

Architecture: GlmMoeDsaForCausalLM
Parameters: 753.3 B
Tensor type: F8_E4M3
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

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