google / text-generation updated 1 year ago

t5gemma-s-s-prefixlm

Name: t5gemma-s-s-prefixlm
Author: google

Params

310 M

Context

—

Downloads 30d

499 K

Likes

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

Download history

daily snapshots · 10 days

531 K362 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	bf16	0.6 GB	1.2 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/t5gemma-s-s-prefixlm
{
  "hf_id": "google/t5gemma-s-s-prefixlm",
  "params_b": 0.31,
  "context_length": null,
  "license": { "id": "gemma", "commercial": "conditional" },
  "downloads_30d": 499208,
  "vram_estimates": [
    { "quant": "bf16", "gb": 1.2 }
  ],
  "updated_at": "2026-07-28T18:06:05Z"
}

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

Specifications

Architecture: T5GemmaForConditionalGeneration
Parameters: 310 M
Tensor type: BF16
Licence: gemma
First seen on the Hub: 2025-06-19
Base model: t5gemma-s-s-prefixlm
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base t5gemma-s-s-prefixlm google 499 K Derivative t5gemma-s-s-prefixlm google 499 K

Compare with

Qwen3-0.6B 29.7 M gpt2 13.7 M Llama-3.2-1B-Instruct 10.4 M Qwen2.5-0.5B-Instruct 6.6 M pythia-160m 2.5 M gemma-3-270m 2.1 M

Appears in

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