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| license: mit |
| library_name: transformers |
| tags: |
| - mlx |
| - open4bits |
| base_model: deepseek-ai/DeepSeek-R1 |
| pipeline_tag: text-generation |
| --- |
| |
| # Open4bits / DeepSeek-R1-MLX-2Bit |
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| This repository provides the **DeepSeek-R1 model quantized to 2-bit in MLX format**, published by Open4bits to enable highly efficient local inference with minimal memory usage and broad hardware compatibility. |
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| The underlying DeepSeek-R1 model and architecture are **developed and owned by DeepSeek AI**. This repository contains only a 2-bit quantized MLX conversion of the original model weights. |
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| The model is designed for lightweight, high-performance text generation and instruction-following tasks, making it well suited for resource-constrained and local deployments. |
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| ## Model Overview |
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| DeepSeek-R1 is a transformer-based large language model developed for strong general language understanding and generation. |
| This release provides a **2-bit quantized checkpoint in MLX format**, enabling efficient inference on CPUs and supported accelerators with reduced memory footprint. |
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| Open4bits has started supporting **MLX models** to broaden compatibility with emerging quantization formats and efficient runtimes. |
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| ## Model Details |
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| * **Base Model:** DeepSeek-R1 |
| * **Quantization:** 2-bit |
| * **Format:** MLX |
| * **Task:** Text generation, instruction following |
| * **Weight tying:** Preserved |
| * **Compatibility:** MLX-enabled inference engines and efficient runtimes |
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| This quantized release is designed to balance strong generation performance with low resource requirements. |
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| ## Intended Use |
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| This model is intended for: |
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| * Local text generation and conversational applications |
| * CPU-based or low-resource deployments |
| * Research, prototyping, and experimentation |
| * Self-hosted or offline AI systems |
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| ## Limitations |
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| * Reduced performance compared to full-precision variants |
| * Output quality depends on prompt design and inference settings |
| * Not specifically tuned for highly specialized or domain-specific tasks |
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| ## License |
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| This model follows the **MIT** as defined by the base model creators. |
| Users must comply with the licensing conditions of the base DeepSeek-R1 model. |
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| ## Support |
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| If you find this model useful, please consider supporting the project. |
| Your support helps Open4bits continue releasing and maintaining high-quality, efficient open models for the community. |
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