google / text-generation updated 2 years ago

gemma-2-9b-it

Name: gemma-2-9b-it
Author: google

Params

9.2 B

Context

—

Downloads 30d

745 K

Likes

934

Commercial use: conditional · gemma Gated — accept licence SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 56 days

▲ 139 K in the last 30 days (23.0%)

757 K324 K

Jul 28Aug 15Sep 3Sep 21

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 · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-2-9b-it
{
  "hf_id": "google/gemma-2-9b-it",
  "params_b": 9.24,
  "context_length": null,
  "license": { "id": "gemma", "commercial": "conditional" },
  "downloads_30d": 745197,
  "vram_estimates": [
    { "quant": "bf16", "gb": 22.2 }
  ],
  "updated_at": "2026-07-28T18:06:22Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Gemma2ForCausalLM
Parameters: 9.2 B
Tensor type: BF16
Licence: gemma
First seen on the Hub: 2024-06-24
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Derivative gemma-2-9b-it-AWQ-INT4 hugging-quants 402 K

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