SandLogicTechnologies/translategemma-4b-it-GGUF
translation model by SandLogicTechnologies
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This repository provides quantized GGUF versions of the TranslateGemma-4B-IT model, an instruction-tuned multilingual translation model designed for high-quality language translation and cross-lingual understanding. Built on the Gemma architecture, the model balances strong translation accuracy with efficient inference at a moderate parameter scale. TranslateGemma-4B-IT has been fine-tuned using instruction-style prompts that emphasize translation tasks. This enables the model to: The instruction-tuning process improves controllability and consistency compared to base multilingual language models. This model is intended for developers and researchers working on multilingual applications, translation systems, or cross-lingual NLP tasks. Example (text-only inference): llama.cpp (text-only) The model will generate a fluent translation while respecting the instruction context. TranslateGemma-4B-IT is trained on a mixture of: The data mixture emphasizes translation accuracy, linguistic diversity, and robustness…
Read the full model card ↗ · Preview checked 2026-10-27T23:25:51.505Z
Inside the original model card — Document outline
- Quantized TranslateGemma-4B-IT Model
- Model Overview
- Instruction Tuning Details
- Key Features
- Quantization Details
- Q4KM Version
- Q5KM Version
- Usage
- Dataset Overview
- Recommended Use Cases
- Acknowledgments
- Contact
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
SandLogicTechnologies/translategemma-4b-it-GGUF is a translation model repository published by SandLogicTechnologies 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)
- 9,305
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2026-01-19T12:37:14.000Z
- Last modified
- 2026-01-19T13:09:48.000Z
Compatibility and lineage
Reported languages: multilingual
Reported base models: google/translategemma-4b-it
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.