zai-org / text-generation updated 1 month 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

753.4 B

Context

1,048,576

Downloads 30d

2.7 M

Likes

247

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

Download history

daily snapshots · 10 days

3.1 M2.7 M

Jul 28Jul 31Aug 3Aug 6

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	15,296.6 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": 753.38,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 2703372,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 944.7 }
  ],
  "updated_at": "2026-07-28T17:07:19Z"
}

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

Specifications

Architecture: GlmMoeDsaForCausalLM
Parameters: 753.4 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

Compare with

DeepSeek-R1 9.9 M GLM-5.2 2.2 M GLM-5.2-NVFP4 1.8 M DeepSeek-V3.2 1.2 M DeepSeek-V3 1.2 M GLM-5-FP8 1.2 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB