Infomaniak-AI/vllm-translategemma-4b-it
image-text-to-text model by Infomaniak-AI
From the publisher
Model card & documentation
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This is a modified version of google/translategemma-4b-it optimized for deployment with vLLM. The original TranslateGemma model requires a structured payload with dedicated sourcelangcode and targetlangcode fields: However, vLLM does not support these custom content parameters. To maintain compatibility, the chat template has been modified to encode language codes directly in the message content using a delimiter-based format: Format: >>{sourcelang}>>{targetlang}>>{texttotranslate} If you need to provide a custom prompt input Format: >>{text} The original model uses the new Transformers RoPE configuration format with separate attention type settings: This has been simplified for vLLM compatibility: The EOS token has been corrected from to to ensure proper sequence termination. Resources and Technical Documentation: Terms of Use: Terms Authors: Google Translate Summary description and brief definition of inputs and outputs. TranslateGemma is a family of lightweight, state-of-the-art open translation models from Google, based on the Gemma 3 family of models. TranslateGemma models are designed to…
Read the full model card ↗ · Preview checked 2026-10-30T22:50:11.746Z
Inside the original model card — Document outline
- vLLM-Compatible TranslateGemma Configuration
- Changes from Original Model
- Chat Template
- Model Configuration (RoPE)
- Generation Configuration
- Original readme
- Model Information
- Description
- Inputs and outputs
- Usage
- With Pipelines
- With direct initialization
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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
Infomaniak-AI/vllm-translategemma-4b-it is a image-text-to-text model repository published by Infomaniak-AI 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
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 801,177
- Cumulative likes
- 15
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 4,971,331,952
- Architecture
- Gemma3ForConditionalGeneration
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2026-01-26T08:38:37.000Z
- Last modified
- 2026-01-27T18:53:32.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.