google / text-generation updated 11 months ago

gemma-3-270m

Name: gemma-3-270m
Author: google

Params

270 M

Context

—

Downloads 30d

2.1 M

Likes

1,062

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

Download history

daily snapshots · 10 days

2.1 M2.0 M

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	0.5 GB	1.1 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-3-270m
{
  "hf_id": "google/gemma-3-270m",
  "params_b": 0.27,
  "context_length": null,
  "license": { "id": "gemma", "commercial": "conditional" },
  "downloads_30d": 2148430,
  "vram_estimates": [
    { "quant": "bf16", "gb": 1.1 }
  ],
  "updated_at": "2026-07-28T17:08:08Z"
}

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

Specifications

Architecture: Gemma3ForCausalLM
Parameters: 270 M
Tensor type: BF16
Licence: gemma
First seen on the Hub: 2025-08-05
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative gemma-3-270m-it google 346 K

Compare with

Qwen3-0.6B 29.7 M gpt2 13.7 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M Qwen2.5-0.5B 2.6 M pythia-160m 2.5 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB