gemma-1.1-2b-it
Params
2.5 B
Context
—
Downloads 30d
209 K
Likes
173
Download history
daily snapshots · 10 days213 K200 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 | bf16 | 5.0 GB | 6.4 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-1-1-2b-it
{
"hf_id": "google/gemma-1.1-2b-it",
"params_b": 2.51,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 209209,
"vram_estimates": [
{ "quant": "bf16", "gb": 6.4 }
],
"updated_at": "2026-07-28T18:07:57Z"
}
Specifications
- Architecture
- GemmaForCausalLM
- Parameters
- 2.5 B
- Tensor type
- BF16
- Licence
- gemma
- First seen on the Hub
- 2024-03-26
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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