FitMyLLM
Google/Dense

GoogleTranslateGemma 12B

TranslateGemma 12B — stronger translation model with vision support.

chatmultilingualvision
13.19B
Parameters
128K
Context length
6
Benchmarks
10
Quantizations
397K
HF downloads
Architecture
Dense
Released
2026-01-13
Layers
48
KV Heads
8
Head Dim
256
Family
gemma

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
11.6 GB
7.1 + 4.5 KV
low
Q3_K_L4.3
12.1 GB
7.6 + 4.5 KV
moderate
IQ4_XS4.46
12.3 GB
7.8 + 4.5 KV
moderate
Q4_K_S4.67
12.7 GB
8.2 + 4.5 KV
moderate
Q4_K_M4.89
13.1 GB
8.6 + 4.5 KV
good
Q5_K_S5.57
14.2 GB
9.7 + 4.5 KV
good
Q5_K_M5.7
14.4 GB
9.9 + 4.5 KV
good
Q6_K6.56
15.8 GB
11.3 + 4.5 KV
excellent
Q8_08.5
19.0 GB
14.5 + 4.5 KV
lossless
FP1616
31.4 GB
26.9 + 4.5 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Community Ratings

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Benchmarks (6)

IFEval80.5
BBH44.2
MMLU-PRO37.4
MATH23.3
GPQA12.8
MUSR12.2

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run translategemma:12b-it-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA CMP 170HX 10 GB
10 GB VRAM • 1560 GB/s
NVIDIA
NVIDIA CMP 50HX
10 GB VRAM • 560 GB/s
NVIDIA
NVIDIA CMP 90HX
10 GB VRAM • 760 GB/s
NVIDIA
NVIDIA Tesla K40c
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40d
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40m
12 GB VRAM • 288 GB/s
NVIDIA

Find the best GPU for TranslateGemma 12B

Build Hardware for TranslateGemma 12B

TranslateGemma 12B — stronger translation model with vision support.

▸ SPEC SHEET

TranslateGemma 12B13.19B Dense.

▸ SPECIFICATIONS
PARAMETERS
13.19B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, multilingual, vision
RELEASE DATE
2026-01-13
PROVIDER
Google
FAMILY
gemma
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.1 GB88%
Q3_K_L4.37.6 GB90%
IQ4_XS4.467.8 GB92%
Q4_K_S4.678.2 GB93%
Q4_K_M4.898.6 GB94%
Q5_K_S5.579.7 GB96%
Q5_K_M5.79.9 GB96%
Q6_K6.5611.3 GB97%
Q8_08.514.5 GB100%
FP161626.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO37.4
MATH23.3
IFEval80.5
BBH44.2
GPQA12.8
MUSR12.2
§ 02RUN COMMAND

Run TranslateGemma 12B locally with Ollama — needs 8.6 GB VRAM at Q4_K_M:

$ollama run translategemma:12b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M