Deep Seek V2.5 1210 G G U F

Introduction

DeepSeek-V2.5-1210-GGUF is a quantized version of the DeepSeek model, optimized for various hardware configurations. This model, created by Bartowski, is designed for text generation tasks and utilizes the GGUF framework for inference.

Architecture

The model is based on the DeepSeek-V2.5-1210 architecture and has been quantized using the llama.cpp framework with imatrix optimization. Different quantization levels offer varying trade-offs between quality and inference speed.

Training

Quantization was performed using the imatrix option, targeting different hardware configurations, including ARM CPUs and specific AVX-capable CPUs. This process involves adjusting the model’s weights to balance performance and resource usage.

Guide: Running Locally

1. Installation: Begin by ensuring you have the huggingface-cli tool installed:

   pip install -U "huggingface_hub[cli]"
   

2. Download Model Files: Use the huggingface-cli to download specific quantized files. For example, to download the Q4_K_M version:

   huggingface-cli download bartowski/DeepSeek-V2.5-1210-GGUF --include "DeepSeek-V2.5-1210-Q4_K_M.gguf" --local-dir ./
   

3. Set Configuration: Ensure you run the model with the --no-context-shift option or its equivalent in your tool to avoid context overflow issues.

4. Select Quantization: Choose the appropriate quantization file based on your hardware capabilities, such as VRAM size or CPU type.

5. Cloud GPUs: For optimal performance, consider using cloud-based GPU services, such as those offered by AWS, Azure, or Google Cloud, to handle larger quantized models effectively.

License

The model is distributed under a custom license, which can be viewed at DeepSeek License. Please review the license terms for compliance and usage restrictions.