k-chirkunov / text-generation updated 1 month ago

gemma4-e4b-claims-comparison

Name: gemma4-e4b-claims-comparison
Author: k-chirkunov

Params

7.9 B

Context

—

Downloads 30d

450 K

Likes

Commercial use: conditional · gemma Gated — accept licence SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 48 days

▲ 84 K in the last 30 days (23.1%)

451 K170 K

Aug 5Aug 21Sep 6Sep 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	15.9 GB	19.2 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/gemma4-e4b-claims-comparison
{
  "hf_id": "k-chirkunov/gemma4-e4b-claims-comparison",
  "params_b": 7.94,
  "context_length": null,
  "license": { "id": "gemma", "commercial": "conditional" },
  "downloads_30d": 449870,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.2 }
  ],
  "updated_at": "2026-08-06T01:00:52Z"
}

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

Specifications

Architecture: Gemma4ForConditionalGeneration
Parameters: 7.9 B
Tensor type: BF16
Licence: gemma
First seen on the Hub: 2026-07-14
Training datasets: undisclosed
Added to our catalog: 2026-08-05

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