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<img src="https://huggingface.co/spaces/SmallDoge/README/resolve/main/org_icon.png" alt="Doge" width="1080" height="720">
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# SmallDoge
Welcome to **SmallDoge**, where we pioneer the development of compact, high-performance small language models. Our focus is on creating ultra-fast SLMs using innovative dynamic algorithms. Committed to transparency and collaboration, all our training details and code are openly accessible on the [SmallDoge GitHub repository](https://github.com/SmallDoges/small-doge).
**Our Mission:** To democratize access to advanced AI by developing efficient, open-source small language models that empower a wide range of applications and research.
Join our community on [Discord](https://discord.gg/P2yYH95N)!
## Explore Our Projects
We offer a suite of resources and models:
- [**Small-Doges**](https://huggingface.co/collections/SmallDoge/doge-slm-679cc991f027c4a3abbded4a): A versatile series of SLMs, including pre-trained base models, supervised fine-tuned models, and models enhanced with reinforcement learning.
- [**Doge-CheckPoints**](https://huggingface.co/collections/SmallDoge/doge-checkpoint-679ce95dae1d498e3ad35068): A collection of model checkpoints designed for seamless continued training on new datasets, ensuring smoother adaptation and minimizing training instability.
- [**Small-Datasets**](https://huggingface.co/collections/SmallDoge/small-datasets-67cec4630df59e5581afbea1): Curated, multi-stage, high-quality datasets specifically engineered to effectively train small language models, boosting their capabilities and helpfulness.
- [**Doge-Downstream-Applications**](https://huggingface.co/collections/SmallDoge/doge-downstream-applications-679ce627a0b7820e04ca22bd): A selection of SLMs optimized for various downstream tasks and real-world applications.
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