hugging-quants / text-generation updated 1 year ago

gemma-2-9b-it-AWQ-INT4

Name: gemma-2-9b-it-AWQ-INT4
Author: hugging-quants

> [!IMPORTANT] > This repository is a community-driven quantized version of the original model google/gemma-2-9b-it which is the BF16 half-precision official version released by Google.

Params

9.2 B

Context

8,192

Downloads 30d

402 K

Likes

Commercial use: conditional · gemma Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 56 days

▲ 73 K in the last 30 days (15.3%)

576 K311 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	i32	6.2 GB	8.7 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 · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-2-9b-it-awq-int4
{
  "hf_id": "hugging-quants/gemma-2-9b-it-AWQ-INT4",
  "params_b": 9.24,
  "context_length": 8192,
  "license": { "id": "gemma", "commercial": "conditional" },
  "downloads_30d": 401880,
  "vram_estimates": [
    { "quant": "i32", "gb": 8.7 }
  ],
  "updated_at": "2026-07-28T18:06:29Z"
}

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

Specifications

Architecture: Gemma2ForCausalLM
Parameters: 9.2 B
Tensor type: I32
Context length: 8,192
Vocabulary: 256,000
Layers / heads: 42 / 16
Licence: gemma
First seen on the Hub: 2024-10-15
Base model: gemma-2-9b-it
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base gemma-2-9b-it google 745 K

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