gemma-3-1b-it
Params
1.0 B
Context
—
Downloads 30d
4.7 M
Likes
1,084
Download history
daily snapshots · 10 days4.7 M3.4 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 | 2.0 GB | 2.8 GB | ✅ Runs comfortably |
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/gemma-3-1b-it
{
"hf_id": "google/gemma-3-1b-it",
"params_b": 1.00,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 4749309,
"vram_estimates": [
{ "quant": "bf16", "gb": 2.8 }
],
"updated_at": "2026-07-28T17:07:13Z"
}
Specifications
- Architecture
- Gemma3ForCausalLM
- Parameters
- 1.0 B
- Tensor type
- BF16
- Licence
- gemma
- First seen on the Hub
- 2025-03-10
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.