gemma-2-27b-it
Params
27.2 B
Context
—
Downloads 30d
20 K
Likes
577
Download history
tracking started — chart appears after 7 days of snapshots (6 recorded)20 K downloads in the last 30 days
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 | 54.5 GB | 64.5 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/gemma-2-27b-it
{
"hf_id": "google/gemma-2-27b-it",
"params_b": 27.23,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 19598,
"vram_estimates": [
{ "quant": "bf16", "gb": 64.5 }
],
"updated_at": "2026-10-19T06:01:44Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.65
input / 1M
$0.65
output / 1M
—
cached input / 1M
$1.30
1M in + 1M out
- Context window
- 8,192 tokens
- Max output
- 2,048 tokens
- Providers
- 1
- Cheapest provider
- NextBit · $0.65 / $0.65
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✗ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- Gemma2ForCausalLM
- Parameters
- 27.2 B
- Tensor type
- BF16
- Licence
- gemma
- First seen on the Hub
- 2024-06-24
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-generation model