Gemma 4 26B

gemma-4-26b 🇮🇹 Italy

The default: it answers in a few seconds. It reads images as well as text, so it is useful for photos of documents, scans and screenshots, and it is good at extracting structured data from free text. Context of 262,144 tokens, 8-bit FP8 weights by Red Hat. Runs on NVIDIA L40S and NVIDIA DGX Spark (GB10), in Italy. In service.

At a glance

Publisher	Google
Architecture	Mixture of experts, 26 billion parameters, about 4 billion per token
Licence	Apache 2.0
Precision	FP8, 8 bits (Red Hat)
Context	262,144 tokens, prompt and answer together
Longest answer	`max_tokens` up to 32,768
Reads	Text and images
Calls tools	Yes
JSON schema	Yes
Reasons	No, as served: it answers straight away.
Runs in	🇮🇹 Italy
Status	Loaded: the first request answers without a start-up wait. Live state on Status.

Use it

curl https://api.ai.itsincom.org/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma-4-26b",
    "messages": [{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.ai.itsincom.org/v1", api_key=os.environ["API_KEY"])
answer = client.chat.completions.create(
    model="gemma-4-26b",
    messages=[{"role": "user", "content": "Summarise in one line: the meeting moves to Thursday at 10."}],
)
print(answer.choices[0].message.content)

More in Quickstart and Chat completions.

Limits

Prompt and answer together stay within 262,144 tokens; beyond that the engine refuses the request with a 400 that says so.
A request goes only to the zones your key allows; if the model has no machine there now, a 503 names the zones. It is never sent elsewhere.