cyankiwi / text-generation updated 2 weeks ago

GLM-4.7-Flash-AWQ-4bit

Name: GLM-4.7-Flash-AWQ-4bit
Author: cyankiwi

👋 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

32.1 B

Context

202,752

Downloads 30d

489 K

Likes

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

Download history

daily snapshots · 10 days

489 K390 K

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	i32	20.2 GB	27.5 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 198K ctx	20.2 GB	142.0 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-awq-4bit
{
  "hf_id": "cyankiwi/GLM-4.7-Flash-AWQ-4bit",
  "params_b": 32.14,
  "context_length": 202752,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 489264,
  "vram_estimates": [
    { "quant": "i32", "gb": 27.5 }
  ],
  "updated_at": "2026-07-28T18:05:54Z"
}

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

Specifications

Architecture: Glm4MoeLiteForCausalLM
Parameters: 32.1 B
Tensor type: I32
Context length: 202,752
Vocabulary: 154,880
Layers / heads: 47 / 20
Licence: mit
First seen on the Hub: 2026-01-19
Base model: GLM-4.7-Flash
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base GLM-4.7-Flash zai-org 2.1 M

Compare with

Qwen3-8B 16.3 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M OTel-2.0-LLM-31B-IT 3.3 M

Appears in

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