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Gemma 4 (12B, Q8)

generalApache 2.0toolsreco 15

Google's Gemma 4 at 12B parameters, 8-bit quantization for higher fidelity than the Q4 build (at roughly double the memory footprint). Encoder-free unified multimodal model (text + image + audio + video), native tool calling, configurable thinking, 256K context. Apache-2.0 licensed.

At a glance

Parameters
12B
Quantization
Q8_0
Context window
256K tokens
Approx. size
12.7 GB
Engines
llama.cpp, MLX
License
Apache-2.0 (open)
Version
v1.0.0 , released 2026-06-03
Family
gemma

Tuning

Defaults a gezel client applies out of the box, from real evaluation runs against this exact quantization.

sampling.temperature
1
sampling.topP
0.95
sampling.topK
64
sampling.maxTokens
8192
sampling.repetitionPenalty
1.1
sampling.repetitionContext
20
reasoning.thinkingBudget
256
reasoning.enableThinking
true
profiles
thinking-general, thinking-coding, thinking-precise, instruct, creative

Model behaviors

Client-side behavior modules the catalog enables for this model (reasoning-tag handling, fabrication detection, prompt shaping).

Sources

llama.cpp (GGUF)
ggml-org/gemma-4-12B-it-GGUF · gemma-4-12B-it-Q8_0.gguf · Q8_0
MLX
mlx-community/gemma-4-12b-it-8bit
Upstream
https://huggingface.co/google/gemma-4-12B-it
Manifest
View on GitHub

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