shieldgemma-9b
Params
9.2 B
Context
—
Downloads 30d
256 K
Likes
31
Download history
daily snapshots · 15 days256 K151 K
Oct 27Nov 1Nov 6Nov 10
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 | 18.5 GB | 22.2 GB | ⚠️ Tight — reduce context |
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/shieldgemma-9b
{
"hf_id": "google/shieldgemma-9b",
"params_b": 9.24,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 255931,
"vram_estimates": [
{ "quant": "bf16", "gb": 22.2 }
],
"updated_at": "2026-10-27T01:00:21Z"
}
Specifications
- Architecture
- Gemma2ForCausalLM
- Parameters
- 9.2 B
- Tensor type
- BF16
- Licence
- gemma
- First seen on the Hub
- 2024-07-16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-27
Compare with any text-generation model