Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
from openai import OpenAI
client = OpenAI(
base_url="https://infergate.ru/api/v1",
api_key="ig-•••",
)
resp = client.chat.completions.create(
model="google/gemma-4-26b-a4b-it",
messages=[{"role": "user", "content": "Привет!"}],
)
print(resp.choices[0].message.content)modelstringобязательныйmessagesarrayобязательныйtemperaturenumbermax_tokensintegertop_pnumbertop_kintegermin_pnumberstopstring | string[]frequency_penaltynumberpresence_penaltynumberrepetition_penaltynumberseedintegerlogit_biasobjectlogprobsbooleantop_logprobsintegerresponse_formatobjectstructured_outputsbooleantoolsarraytool_choicestring | objectreasoningobjectinclude_reasoningboolean