gemma-2-2b
Params
2.6 B
Context
—
Downloads 30d
224 K
Likes
685
Download history
daily snapshots · 10 days224 K214 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 | f32 | 10.5 GB | 12.4 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-2-2b
{
"hf_id": "google/gemma-2-2b",
"params_b": 2.61,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 223594,
"vram_estimates": [
{ "quant": "f32", "gb": 12.4 }
],
"updated_at": "2026-07-28T18:07:44Z"
}
Specifications
- Architecture
- Gemma2ForCausalLM
- Parameters
- 2.6 B
- Tensor type
- F32
- Licence
- gemma
- First seen on the Hub
- 2024-07-16
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.