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Model: pedrodev2026/microcoder-1.5b-GGUF
Source: Original Platform

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DATASET_CREDITS.md

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+# Credits
+
+This dataset is a combination of three existing datasets, pre-processed with **deduplication** and **token limit of 1024 tokens per example**.
+
+## Included Datasets
+
+1. **[CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO)**  
+   - Creator: CyberNative  
+   - License: Apache 2.0  
+   - Description: Code dataset focused on security vulnerabilities.  
+
+2. **[Madras1/minimax-m2.5-code-distilled-14k](https://huggingface.co/datasets/Madras1/minimax-m2.5-code-distilled-14k)**  
+   - Creator: Madras1  
+   - License: Apache 2.0  
+   - Description: Distilled code dataset emphasizing coding patterns and representations.  
+
+3. **[pedrodev2026/pedro-open-distil-dataset](https://huggingface.co/datasets/pedrodev2026/pedro-open-distil-dataset)**  
+   - Creator: pedrodev2026  
+   - License: BSD 3-Clause  
+   - Description: Custom distilled code dataset created and maintained by pedrodev2026.  
+
+## Preprocessing
+
+The combined dataset was prepared by:
+
+- **Deduplicating** all examples to remove redundancy.  
+- Limiting examples to **1024 tokens each**.  
+
+## License
+
+The final combined dataset is licensed under **BSD 3-Clause**.  
+Users must still respect the original licenses of the included datasets when redistributing or using the original unmodified datasets.  
+
+- Original licenses:  
+  - **[CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO)**: Apache 2.0  
+  - **[Madras1/minimax-m2.5-code-distilled-14k](https://huggingface.co/datasets/Madras1/minimax-m2.5-code-distilled-14k)**: Apache 2.0  
+  - **[pedrodev2026/pedro-open-distil-dataset](https://huggingface.co/datasets/pedrodev2026/pedro-open-distil-dataset)**: BSD 3-Clause

MODEL_CREDITS.md

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+# Model Credits - Microcoder-1.5B
+
+## Base Model
+
+This fine-tuned model is built upon **Qwen 2.5 Coder 1.5B Instruct**, created and maintained by [Alibaba Cloud](https://www.alibabacloud.com/).
+
+### Original Model Information
+
+- **Model Name**: Qwen 2.5 Coder 1.5B Instruct
+- **Creator**: Alibaba Cloud
+- **Repository**: [Qwen Hugging Face](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)
+- **License**: Apache 2.0
+
+The Qwen 2.5 Coder series represents a significant advancement in code generation models, optimized for programming tasks and instruction following.
+
+## Model Redistribution
+
+We acknowledge **Unsloth** for their role in redistributing and optimizing the base model, making it more accessible to the community.
+
+- **Organization**: Unsloth
+- **Website**: [Unsloth.ai](https://unsloth.ai)
+
+## Fine-Tuned Model (Microcoder-1.5B)
+
+- **License**: BSD-3-Clause
+- **Status**: This fine-tuned version incorporates specialized training and optimizations
+
+## License Summary
+
+| Component | License |
+|-----------|---------|
+| Base Model (Qwen 2.5 Coder 1.5B) | Apache 2.0 |
+| Fine-tuned Model (Microcoder-1.5B) | BSD-3-Clause |
+
+## Dataset Credits
+
+For detailed information about the datasets used in the fine-tuning process, please refer to [`DATASET_CREDITS.md`](./DATASET_CREDITS.md).
+
+## Attribution
+
+When using Microcoder-1.5B, please provide appropriate attribution to:
+
+1. **Alibaba Cloud** - for the original Qwen 2.5 Coder model
+2. **Unsloth** - for model redistribution and optimization
+3. **Microcoder Contributors** - for the fine-tuning and improvements
+
+## Citation
+
+If you use this model in your research or projects, please consider citing:
+
+```bibtex
+@misc{microcoder2026,
+  title={Microcoder-1.5B: A Fine-tuned Code Generation Model},
+  author={[pedrodev2026]},
+  year={2026},
+  url={[https://huggingface.co/pedrodev2026/microcoder-1.5b]}
+}
+```
+
+And also cite the original Qwen model:
+
+```bibtex
+@article{hui2024qwen2,
+      title={Qwen2.5-Coder Technical Report},
+      author={Hui, Binyuan and Yang, Jian and Cui, Zeyu and Yang, Jiaxi and Liu, Dayiheng and Zhang, Lei and Liu, Tianyu and Zhang, Jiajun and Yu, Bowen and Dang, Kai and others},
+      journal={arXiv preprint arXiv:2409.12186},
+      year={2024}
+}
+```
+
+---
+
+**Last Updated**: 2026
+**Model Version**: 1.5B

README.md

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+---
+license: bsd-3-clause
+datasets:
+- pedrodev2026/microcoder-dataset-1024-tokens
+base_model:
+- pedrodev2026/microcoder-1.5b
+pipeline_tag: text-generation
+tags:
+- coder
+- code
+- microcoder
+---

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