cyankiwi / text-generation updated 1 month ago

GLM-5.2-AWQ-INT4

Name: GLM-5.2-AWQ-INT4
Author: cyankiwi

Version 26.05.01 Calibration STEM and Agentic Languages EN ZH HI AR RU JA KO NL FR ES Model Size 454.29 GB (excl. MTP) MTP Layer 19.91 GB (474.19 GB total download) Contact Email

Params

753.3 B

Context

1,048,576

Downloads 30d

196 K

Likes

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

Download history

daily snapshots · 56 days

▲ 82 K in the last 30 days (29.7%)

410 K196 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	i32	474.2 GB	635.1 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	474.2 GB	14,986.1 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-awq-int4
{
  "hf_id": "cyankiwi/GLM-5.2-AWQ-INT4",
  "params_b": 753.33,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 195725,
  "vram_estimates": [
    { "quant": "i32", "gb": 635.1 }
  ],
  "updated_at": "2026-07-29T01:00:18Z"
}

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

Specifications

Architecture: GlmMoeDsaForCausalLM
Parameters: 753.3 B
Tensor type: I32
Context length: 1,048,576
Vocabulary: 154,880
Layers / heads: 78 / 64
Licence: mit
First seen on the Hub: 2026-06-19
Base model: GLM-5.2
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base GLM-5.2 zai-org 962 K

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