bjoernb/gemma4-e2b-fast

bjoernb/ gemma4-e2b-fast

2,068 Downloads Updated 7 months ago

Gemma 4 E2B (Google DeepMind) with thinking mode disabled. Compact multimodal model — 2.3B effective / 5.1B total parameters. Supports text, image and audio input. Designed for edge devices and local deployment. Knowledge cutoff: January 2025.

vision tools thinking

ollama run bjoernb/gemma4-e2b-fast

curl http://localhost:11434/api/chat \
  -d '{
    "model": "bjoernb/gemma4-e2b-fast",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='bjoernb/gemma4-e2b-fast',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'bjoernb/gemma4-e2b-fast',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)