ModelSpace/GemmaX2-28-9B-v0.1

translation model by ModelSpace

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

New multilingual machine translation model (MiLMMT-46) is now available. Please check the link for detailed information. GemmaX2-28-9B-v0.1 is an LLM-based translation model. It has been fintuned on GemmaX2-28-9B-Pretrain, which is a language model developed through continual pretraining of Gemma2-9B using a mix of 56 billion tokens from both monolingual and parallel data across 28 different languages. Please find more details in our paper: Multilingual Machine Translation with Open…

ModelSpace/GemmaX2-28-9B-v0.1 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-26T06:41:47.105Z

Inside the original model card — Document outline
  1. Updates
  2. Model Description
  3. Model Performance
  4. Run the model
  5. Citation
  6. Limitations

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

ModelSpace/GemmaX2-28-9B-v0.1 is a translation model repository published by ModelSpace on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
translation
Library
transformers
Recent downloads (30 days)
7,054
Cumulative likes
79
Hugging Face trending score
0
Reported safetensors parameters
10,159,209,984
Architecture
Gemma2ForCausalLM
License
gemma
Access
Not gated by Hugging Face
Created
2024-11-28T11:02:09.000Z
Last modified
2026-02-25T03:26:22.000Z

Compatibility and lineage

Reported languages: ar, bn, cs, de, en, es, fa, fr, he, hi, id, it, ja, km, ko, lo, ms, my, nl, pl, pt, ru, th, tl, tr, ur, vi, zh

Reported base models: ModelSpace/GemmaX2-28-9B-Pretrain

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-26T06:39:44.438Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

google-t5/t5-small

google-t5/t5-base

Helsinki-NLP/opus-mt-nl-en

Helsinki-NLP/opus-mt-fr-en

facebook/nllb-200-distilled-600M

Helsinki-NLP/opus-mt-en-ru