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- mlx
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# AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx
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The Model [AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx](https://huggingface.co/AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx) was
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# About:
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**A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations.**
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*Special thanks to Agentica for fine-tuning this version of Deepseek-R1-Distilled-Qwen-1.5B. More information about it can be found here:*
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https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview. (Base Model)
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</a>
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<a href="https://huggingface.co/agentica-org" style="margin: 2px;">
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<img alt="Hugging Face" src="https://img.shields.io/badge/Agentica-fcd022?style=for-the-badge&logo=huggingface&logoColor=000&labelColor" style="display: inline-block; vertical-align: middle;"/>
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</a>
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- Converted to MLX format for improved performance on Apple Silicon Macs (M1,M2,M3,M4).
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- No quantization done, for the full 1.5B parameter model.
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- If you want a smaller size (quantized), see the mlx models below.
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# Other Types/Quants:
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| Link | Type | Size| Notes |
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| [MLX] (https://huggingface.co/AlejandroOlmedo/DeepScaleR-1.5B-Preview-8bit-mlx) | 8-bit | 1.90 GB | **Best Quality** |
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| [MLX] (https://huggingface.co/AlejandroOlmedo/DeepScaleR-1.5B-Preview-6bit-mlx) | 6-bit | 1.46 GB | Better Quality|
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| [MLX] (https://huggingface.co/AlejandroOlmedo/DeepScaleR-1.5B-Preview-4bit-mlx) | 4-bit | 1.01 GB | Good Quality|
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# AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx
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The Model [AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx](https://huggingface.co/AlejandroOlmedo/DeepScaleR-1.5B-Preview-mlx) was
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