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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# MiniLingua-1b-Instruct
+
+**MiniLingua-1b-Instruct** is an instruction-tuned multilingual model based on the [MiniLingua-1b](https://huggingface.co/minilingua-ai/MiniLingua-1b) base model. It supports a diverse set of European languages and programming code, making it suitable for instruction-following, multilingual generation, and downstream tasks like question answering, summarisation etc.
+
+## Supported Languages
+
+- Bulgarian  
+- Czech  
+- Dutch  
+- English  
+- Finnish  
+- French  
+- German  
+- Greek  
+- Italian  
+- Polish  
+- Portuguese  
+- Spanish  
+- Swedish  
+- Programming code  
+
+## Instruction Tuning
+
+This preview instruction-tuned version of MiniLingua-1b was trained over 1 epoch on 1.2 million instructions from the following high-quality datasets:
+
+- [CohereLabs/aya_collection_language_split](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split)  
+- [MBZUAI/Bactrian-X](https://huggingface.co/datasets/MBZUAI/Bactrian-X)  
+- [GAIR/lima](https://huggingface.co/datasets/GAIR/lima)  
+- [bigcode/self-oss-instruct-sc2-exec-filter-50k](https://huggingface.co/datasets/bigcode/self-oss-instruct-sc2-exec-filter-50k)  
+- [minilingua-ai/mcqa-minilingua-sft](https://huggingface.co/datasets/minilingua-ai/mcqa-minilingua-sft)  
+
+The supervised fine-tuning (SFT) was performed on the [Triton Aalto cluster](https://scicomp.aalto.fi/triton/) using 4 H200 GPUs.
+
+## Intended Use
+
+This model is a **preview release** intended for:
+
+- Multilingual instruction following  
+- Evaluation and benchmarking  
+- Research in low- and high-resource European languages  
+
+## Limitations
+
+- This version is a first-stage SFT release; alignment steps is not applied.
+- Some languages may show uneven instruction-following ability depending on resource availability and instruction diversity.
+
+---
+
+**License**: Apache-2.0