GLM-4.7-Flash-AWQ-4bit
👋 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
221 K
Likes
56
Download history
daily snapshots · 56 days
▲ 259 K in the last 30 days (54.0%)
472 K221 K
Aug 23Sep 2Sep 12Sep 21
521 K221 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 | 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 -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": 220568,
"vram_estimates": [
{ "quant": "i32", "gb": 27.5 }
],
"updated_at": "2026-07-28T18:05:54Z"
}
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.
Compare with any text-generation model