GLM-4.7-Flash
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Params
31.2 B
Context
202,752
Downloads 30d
1.9 M
Likes
1,844
Download history
daily snapshots · 55 days
▲ 141 K in the last 30 days (7.0%)
2.0 M1.9 M
Aug 22Sep 1Sep 11Sep 20
2.2 M1.9 M
Jul 28Aug 15Sep 2Sep 20
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 -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": 1861863,
"vram_estimates": [
{ "quant": "bf16", "gb": 73.9 }
],
"updated_at": "2026-07-28T17:07:57Z"
}
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.
Compare with any text-generation model