dhiltgen/gemma3

dhiltgen/ gemma3

331 Downloads Updated 1 month ago

Testing new conversion patterns...

vision 270m 1b 4b 12b 27b

ollama run dhiltgen/gemma3

curl http://localhost:11434/api/chat \
  -d '{
    "model": "dhiltgen/gemma3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='dhiltgen/gemma3',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'dhiltgen/gemma3',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

View all →

Name

36 models

Size / Usage

Context

Input

gemma3:latest

3.4GB · 128K context window · Text, Image · 3 months ago

gemma3:latest

3.4GB

128K

Text, Image

gemma3:270m

301MB · 32K context window · Text · 1 month ago

gemma3:270m

301MB

32K

Text

gemma3:1b

815MB · 32K context window · Text · 1 month ago

gemma3:1b

815MB

32K

Text

gemma3:4b

latest

3.4GB · 128K context window · Text, Image · 1 month ago

gemma3:4b latest

3.4GB

128K

Text, Image

gemma3:12b

8.2GB · 128K context window · Text, Image · 1 month ago

gemma3:12b

8.2GB

128K

Text, Image

gemma3:27b

17GB · 128K context window · Text, Image · 1 month ago

gemma3:27b

17GB

128K

Text, Image

Readme

No readme