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

504 K

Likes

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

Download history

daily snapshots · 10 days

504 K311 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	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": 504472,
  "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 417 K

Compare with

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Appears in

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