frozenlab/gemma4-mtp

frozenlab/ gemma4-mtp

164 Downloads Updated 1 month ago

vision tools thinking 12b

ollama run frozenlab/gemma4-mtp:12b

curl http://localhost:11434/api/chat \
  -d '{
    "model": "frozenlab/gemma4-mtp:12b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='frozenlab/gemma4-mtp:12b',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'frozenlab/gemma4-mtp:12b',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model frozenlab/gemma4-mtp:12b

OpenCode ollama launch opencode --model frozenlab/gemma4-mtp:12b

Hermes Agent ollama launch hermes --model frozenlab/gemma4-mtp:12b

OpenClaw ollama launch openclaw --model frozenlab/gemma4-mtp:12b

Models

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Name

1 model

Size / Usage

Context

Input

gemma4-mtp:12b

8.0GB · 256K context window · Text, Image · 1 month ago

gemma4-mtp:12b

8.0GB

256K

Text, Image

Readme

Base model: Gemma 4 12B instruction-tuned (Q4_K_M), identical to gemma4:12b
Drafter: Google’s gemma-4-12B-it-assistant multi-token-prediction head, Q8_0 GGUF by ggml-org (ggml-org/gemma-4-12B-it-GGUF)
Parameter: draft_num_predict 4

The weights are unmodified. This package only combines the two published models into a single Ollama model. Vision, chat template and sampling defaults are inherited from gemma4:12b.

Requirements

Ollama 0.32.7 or newer. Older versions can pull and run the model but silently skip the drafter, so you get no speedup.

License

Apache License 2.0. The license text ships with the model as a separate layer. Gemma is a trademark of Google LLC. This is not an official Google model and is not affiliated with or endorsed by Google.

Applications

Models

Readme

Contents

Requirements

License