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--- |
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license: mit |
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library_name: transformers |
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tags: |
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- mlx |
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- open4bits |
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base_model: deepseek-ai/DeepSeek-R1 |
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pipeline_tag: text-generation |
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--- |
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# 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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--- |
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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. |
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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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--- |
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## Model Details |
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* **Base Model:** DeepSeek-R1 |
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* **Quantization:** 2-bit |
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* **Format:** MLX |
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* **Task:** Text generation, instruction following |
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* **Weight tying:** Preserved |
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* **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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--- |
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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 |
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* CPU-based or low-resource deployments |
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* Research, prototyping, and experimentation |
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* Self-hosted or offline AI systems |
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--- |
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## Limitations |
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* Reduced performance compared to full-precision variants |
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* Output quality depends on prompt design and inference settings |
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* Not specifically tuned for highly specialized or domain-specific tasks |
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--- |
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## License |
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This model follows the **MIT** as defined by the base model creators. |
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Users must comply with the licensing conditions of the base DeepSeek-R1 model. |
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--- |
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## Support |
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If you find this model useful, please consider supporting the project. |
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Your support helps Open4bits continue releasing and maintaining high-quality, efficient open models for the community. |
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