Models › translategemma family

translategemma-12b-it

google Gemma Terms of Use out 9 months ago

12.2B parameters, images and text in, text out, 128K tokens of context.

Verified 2026-10-25 Rank #652 in LLMs · score 73.1 method v1 Sources 3 Downloads 30d 8k · #522 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (33 in all).2026-10-24 · 1 new quantized build on the Hub (32 in all).2026-10-24

Can I run it?7.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Gemma Terms of UseGoogle's terms + prohibited-use policy; must pass terms downstreamlicence file2026-10-24
Do people use it?8kdownloads, 30 days#522 of 619 we track · below the median+2 likes, downloads −17% this week359 likesHugging Face2026-10-24

Worth reading

Picked by rule from 3 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 9 months ago

TranslateGemma: A new suite of open translation models

Google introduces TranslateGemma, a suite of open translation models built on Gemma 3 available in 4B, 12B, and 27B parameter sizes.

  • The team pushed the boundaries by training on nearly 500 additional language pairs beyond the core 55 language pairs.
blog.google 2026-01-15 11 HN pts · 1 comments 644 words about the translategemma family family

3 best of 3 tracked

The 1 pick above, plus these 2. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleFine-Tuning TranslateGemma-4B for Better Welsh Translations on an H200 GPUmetalglot.com · 2026-05-13
  2. ArticleComparing the best open source TranslateGemma projectsmetalglot.com · 2026-05-03 · 2 HN pts

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 33 quantized builds and 5 Spaces.

  • As a service0no API provider listed
  • On own hardware33quantized builds
  • Built on137 fine-tunes · 5 adapters · 1 merges
  • In apps5Hugging Face Spaces

Top Spaces running it: hysts/translategemma-27b-it ♥ 34 · zxc4wewewe/New_folder_2 ♥ 1 · build-small-hackathon/Vernacular ♥ 1

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 7.3 GB at INT4, 15 GB at FP8, 29 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 7.3 GB of weights (estimate; KV cache and activations extra)INT47.3 GBFP8: about 15 GB of weights (estimate; KV cache and activations extra)FP815 GBBF16: about 29 GB of weights (estimate; KV cache and activations extra)BF1629 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 7.3 GB of weights (estimate; KV cache and activations extra)INT47.3 GBFP8: about 15 GB of weights (estimate; KV cache and activations extra)FP815 GBBF16: about 29 GB of weights (estimate; KV cache and activations extra)BF1629 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

2 dated articles and 2 repo commits so far

Teal is the weights (2026-01-12), amber triangles are 2 dated articles (each links to it), grey ticks are repo commits.

FebMarAprMayJunJulAugSepOct2026-01-28: 1 repo commit2026-01-15: 1 repo commitTranslateGemma: A new suite of open translation models · 2026-01-15Comparing the best open source TranslateGemma projects · 2026-05-03Weights 2026-01-12 · 2026-01-12Weights 2026-01-12now
FebMarAprMayJunJulAugSepOct2026-01-28: 1 repo commit2026-01-15: 1 repo commitTranslateGemma: A new suite of open translation models · 2026-01-15Comparing the best open source TranslateGemma projects · 2026-05-03Weights 2026-01-12 · 2026-01-12Weights 2026-01-12now

What people built on it

46 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

46 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

33 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)5 adapters (Hugging Face model tree)33 quantized7 fine-tunes1 merge5 adapters
33 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)5 adapters (Hugging Face model tree)33 quantized7 fine-tunes1 merge5 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (8)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported Vistra* (4 langs) MetricX ↓2.574Bmodel author2026-10-07
author-reported Vistra* (4 langs) MetricX ↓2.0812Bmodel author2026-10-07
author-reported Vistra* (4 langs) MetricX ↓1.5727Bmodel author2026-10-07
author-reported WMT24++ · Work across languages5.324Bmodel author2026-10-07
author-reported WMT24++ · Work across languages3.612Bmodel author2026-10-07
author-reported WMT24++ · Work across languages3.0927Bmodel author2026-10-07
author-reported WMT25 (10 langs) MQM ↓7.9412Bmodel author2026-10-07
author-reported WMT25 (10 langs) MQM ↓5.8627Bmodel author2026-10-07

What the card says

2 cited sentences

Summary generated, cited

TranslateGemma is a 13.2B parameter image-text-to-text model based on the Gemma 3 family.[1][2] The model performs translation tasks across 55 languages using text or image inputs.[3]

  1. parameters human
  2. “based on the Gemma 3 family”
  3. “designed to handle translation tasks across 55 languages”

Generated 2026-10-07 15:12 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

5 use cases

What it is good at 5 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

21 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesGemma3ForConditionalGeneration
Model typegemma3
Dtypebfloat16
Params by dtypeBF16: 12,187,325,040
Size bandL
MoEno
Context length131,072 (config.json max_position_embeddings)
Gatedmanual
PapersarXiv:2601.09012, arXiv:2503.19786
LicenseGemma Terms of Use (gemma)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Gemma3ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Gemma3ForConditionalGeneration · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for translategemma-12b-it: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)29 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)15 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)7.3 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: google/translategemma 46 derivatives on the Hub

finetune: 7quantized: 33adapter: 5merge: 1

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
chbae624/vllm-translategemma-12b-it finetune — 13.2B L gemma chbae624 4 301.6k
mradermacher/translategemma-12b-it-GGUF quantized GGUF — — gemma mradermacher 21 107.1k
kaitchup/translategemma-12b-it-NVFP4 quantized NVFP4 8.49B M gemma kaitchup 1 98.5k
bullerwins/translategemma-12b-it-GGUF quantized GGUF — — gemma bullerwins 11 62.2k
mradermacher/translategemma-12b-it-i1-GGUF quantized GGUF — — gemma mradermacher 10 23.9k
NikolayKozloff/translategemma-12b-it-Q4_K_M-GGUF quantized GGUF — — gemma NikolayKozloff 2 16k
tatsuyaaaaaaa/translategemma-12b-it-gguf quantized gguf — — — tatsuyaaaaaaa 0 9.4k
mlx-community/translategemma-12b-it-8bit quantized -8bit 11.8B L gemma mlx-community 8 8.6k
mlx-community/translategemma-12b-it-4bit quantized -4bit 11.8B L gemma mlx-community 6 8.1k
NikolayKozloff/translategemma-12b-it-Q5_K_M-GGUF quantized GGUF — — gemma NikolayKozloff 2 6.5k
kaitchup/translategemma-12b-it-FP8-Dynamic quantized -FP8 12.2B L gemma kaitchup 3 3.3k
gateremark/kikuyu_translategemma_12b_merged_V2 adapter — 13.2B L apache-2.0 gateremark 5 3k
steampunque/translategemma-12b-it-MP-GGUF quantized GGUF — — gemma steampunque 0 3.3k
NikolayKozloff/translategemma-12b-it-Q8_0-GGUF quantized Q8_0 — — gemma NikolayKozloff 4 2.8k
42ailab/TranslateGemma-12B-GGUF quantized GGUF — — gemma 42ailab 1 1.8k
NikolayKozloff/translategemma-12b-it-Q6_K-GGUF quantized Q6_K — — gemma NikolayKozloff 3 1.5k
Sunbird/translategemma-12b-ug40 finetune — 13.2B L apache-2.0 Sunbird 0 1k
Yacinedh/translategemma-12b-khutbah quantized GGUF 12.2B L gemma Yacinedh 0 1k
DeltaKX/translategemma-12b-it-Q4_K_M-GGUF quantized GGUF — — gemma DeltaKX 0 821
anilb/translategemma-gguf quantized gguf — — gemma anilb 0 755
bRadu/translategemma-12b-it-novision finetune — 11.8B L other bRadu 2 596
mlx-community/translategemma-12b-it-6bit quantized — 11.8B L gemma mlx-community 0 663
NikolayKozloff/translategemma-12b-it-Q4_K_S-GGUF quantized GGUF — — gemma NikolayKozloff 1 608
piotreknow02/translategemma-12b-it-mlx-6bit quantized mlx 11.8B L gemma piotreknow02 0 549
NikolayKozloff/translategemma-12b-it-Q5_K_S-GGUF quantized GGUF — — gemma NikolayKozloff 1 489
Abu-Dju/translategemma-12b-it-Q8_0-GGUF quantized Q8_0 — — gemma Abu-Dju 0 493
Rashik24/translategemma-12b-it-4bit quantized -4bit 11.8B L gemma Rashik24 0 475
gateremark/kikuyu_translategemma_12b_merged finetune — 13.2B L apache-2.0 gateremark 7 104
async0x42/translategemma-12b-it-4bit quantized -4bit 11.8B L gemma async0x42 0 343
SpongeBOB9684/GemmaTranslate-v3-12B merge — 12.2B L gemma SpongeBOB9684 2 226
Riyan200324200324/translategemma-12b-it-GGUF quantized GGUF — — gemma Riyan200324200324 0 263
litert-community/TranslateGemma-12B-IT finetune — — — gemma litert-community 5 0
Yacinedh/translategemma-12b-khutbah-lora adapter — — — gemma Yacinedh 0 246
wws11/parallel-chinese-translation-gguf-Q8_0 quantized gguf — — — wws11 0 229
Abu-Dju/translategemma-12b-it-Q5_K_M-GGUF quantized GGUF — — gemma Abu-Dju 0 209
lab-ii/translategemma-12b-it-sah finetune — 12.2B L gemma lab-ii 0 137
kungaa/TuvanGemma quantized GGUF — — other kungaa 0 136
nufrnd/lvc-translategemma-12b-mlx quantized mlx 11.8B L gemma nufrnd 0 91
henry1477/translategemma-12b-it-NVFP4A16 quantized — 11.8B L gemma henry1477 0 77
henry1477/translategemma-12b-it-NVFP4 quantized NVFP4 11.8B L gemma henry1477 0 76

Repository changelog

2 commits
changed in the last 7 daysOther: 2026-10-24, 2026-10-24all changes

Repository changelog 2 commits

DateCommitSHA
2026-01-28 Update generation_config.json d1b225e
2026-01-15 Super-squash branch 'main' using huggingface_hub 94fb76d

Articles and coverage

3 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official1

blog.google2026-01-15officialauthorityabout the translategemma familyHN 11 pts · 1 comments644 words
Google introduces TranslateGemma, a suite of open translation models built on Gemma 3 available in 4B, 12B, and 27B parameter sizes. The 12B model outperforms the Gemma 3 27B baseline as measured using MetricX on the WMT24++ benchmark through a specialized two-stage fine-tuning process. Deployment options include mobile edge, consumer laptops, or a single H100 GPU or TPU in the cloud.written, reviewed, cited
  • The team pushed the boundaries by training on nearly 500 additional language pairs beyond the core 55 language pairs.

Analysis1

metalglot.com2026-05-03about the translategemma familyHN 2 pts · 0 comments2,487 words
This guide categorizes open-source TranslateGemma tools by specific use cases rather than general hype. fastapi-gemma-translate offers a robust REST API backend under the MIT License, while Llingua provides a browser-only approach using WebAssembly. AI Subtitle Tools combine FFmpeg audio extraction for media pipelines, though most tools struggle with structured localization formats like i18next JSON or XLIFF.written, reviewed, cited
  • TOST combines OCR and local inference to translate screenshots and desktop software on-screen.
  • TranslateGemma Studio handles long-form text and chunking better than other local web frontends.
  • petit_trad targets technically confident users who want fine control over execution backends including CUDA, Metal, Vulkan, and CPU-only modes.
All coverage tracked for this model (3) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Fine-Tuning TranslateGemma-4B for Better Welsh Translations on an H200 GPUmetalglot.com2026-05-132026-10-07hn
Comparing the best open source TranslateGemma projectsmetalglot.com2026-05-032026-10-07hn
TranslateGemma: A new suite of open translation modelsblog.google official2026-01-152026-10-07hn

Papers

2 papers

Papers 2

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

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  • Llama-Guard-4-12B · 12.0B
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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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