zai-org / text-generation updated 6 months ago

GLM-4.7-Flash

Name: GLM-4.7-Flash
Author: zai-org

👋 Join our Discord community. 📖 Check out the GLM-4.7 technical blog, technical report(GLM-4.5). 📍 Use GLM-4.7-Flash API services on Z.ai API Platform. 👉 One click to GLM-4.7.

Params

31.2 B

Context

202,752

Downloads 30d

2.1 M

Likes

1,802

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

Download history

daily snapshots · 10 days

2.2 M2.1 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	bf16	62.4 GB	73.9 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 198K ctx	62.4 GB	185.1 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-4-7-flash
{
  "hf_id": "zai-org/GLM-4.7-Flash",
  "params_b": 31.22,
  "context_length": 202752,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 2067510,
  "vram_estimates": [
    { "quant": "bf16", "gb": 73.9 }
  ],
  "updated_at": "2026-07-28T17:07:57Z"
}

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

Specifications

Architecture: Glm4MoeLiteForCausalLM
Parameters: 31.2 B
Tensor type: BF16
Context length: 202,752
Vocabulary: 154,880
Layers / heads: 47 / 20
Licence: mit
First seen on the Hub: 2026-01-19
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative GLM-4.7-Flash-AWQ-4bit cyankiwi 489 K Derivative GLM-4.7-Flash unsloth 295 K Derivative GLM-4.7-Flash-MLX-8bit lmstudio-community 220 K Derivative GLM-4.7-Flash-MLX-6bit lmstudio-community 203 K Derivative GLM-4.7-Flash-AWQ QuantTrio 203 K

Compare with

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Appears in

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