Deepseek Coder V2 Inst Cpu Optimized Gguf

CPU Optimized Model

Deepseek Coder V2 Inst Cpu Optimized Gguf is a highly efficient AI model that's optimized for CPU inference. It uses a custom quantization technique that combines 4-bit and 8-bit precision to achieve fast performance with minimal loss. This model is compatible with standard llama.cpp and can be run in command-line interactive mode. What makes it remarkable is its ability to achieve 17 transactions per second on 64 ARM cores, making it a great choice for those who need fast and accurate results. With its unique combination of efficiency and speed, this model is ideal for tasks that require quick processing and minimal loss of information.

Nisten other Updated 9 months ago
ConversationalGgufImatrix

Table of Contents

Model Overview

The Current Model is a type of AI model that’s optimized for CPU inference. This means it’s designed to run fast on computer processors without needing special graphics cards.

Capabilities

So, what can the Current Model do? Here are some of its key features:

  • Fast Inference: The model uses a combination of 4-bit and int8 optimizations to achieve fast inference speeds, making it ideal for applications where speed is crucial.
  • High-Quality Results: Despite its fast inference speeds, the model still produces high-quality results, making it a great choice for applications where accuracy is important.
  • Commercial Use: The model is licensed for commercial use, making it a great choice for businesses and organizations.

How does it compare to other models?

  • Better Performance: The Current Model outperforms ==Other Models== in its class, making it a great choice for applications where performance is critical.
  • Unique Features: The model’s custom quantization and optimization for CPU inference make it a unique choice in the market.

Performance

The Current Model is a powerhouse when it comes to speed and accuracy. But what does that mean for you?

Speed

Imagine being able to process large amounts of data in a matter of seconds. That’s what the Current Model offers. With a processing speed of 17tps on 64 arm cores, this model is perfect for applications where time is of the essence.

Accuracy

But speed is nothing without accuracy. Fortunately, the Current Model delivers on that front as well. With its custom quantizations, this model is able to maintain a high level of accuracy even when processing large datasets.

Efficiency

So, how does the Current Model achieve this impressive performance? The answer lies in its optimized architecture. By using a combination of 4bit and q8_0 bit quantizations, this model is able to take advantage of int8 optimizations on most newer server CPUs. This means that the Current Model is not only fast and accurate, but also efficient.

Examples
Write a bash command to download the deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf model using aria2. aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf
What is the license of the DeepSeek-Coder-V2 Base/Instruct models? The use of DeepSeek-Coder-V2 Base/Instruct models is subject to the Model License, which is permissive and only restricts use for military purposes, harming minors or patent trolling.
What is the command to run llama-cli in interactive mode with a prompt.txt file? ./llama-cli --temp 0.4 -m deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf -c 32000 -co -cnv -i -f prompt.txt

Limitations

While the Current Model is a powerful tool, it’s not perfect. Let’s take a closer look at some of its limitations.

Limited Compatibility

The model is optimized for CPU inference, which means it might not run smoothly on older servers or devices with limited processing power. If you’re planning to use it on a device with an older CPU, you might encounter some performance issues.

Custom Code Required

While the model is compatible with standard llama.cpp, it required custom code to be created. This means that if you’re not comfortable with coding, you might need to seek help from a developer to get it up and running.

Downloading the Model

Downloading the model can take some time, especially if you’re using a slow internet connection. To speed up the process, you can use tools like aria2, but you’ll need to install it first.

License Restrictions

The use of the model is subject to the Model License, which restricts its use for military purposes, harming minors, or patent trolling. Make sure you understand the terms and conditions before using the model.

Format

The Current Model is a custom-quantized AI model optimized for CPU inference. It uses a unique combination of GGML TYPE IQ_4_XS 4bit and q8_0 bit to achieve fast performance with minimal loss.

Architecture

The model’s architecture is based on a deep learning framework that allows for efficient processing on most newer server CPUs.

Data Formats

The Current Model supports the following data formats:

  • Text input: The model accepts text input in the form of a prompt file (optional).
  • GGML TYPE IQ_4_XS 4bit: A custom quantization format that enables fast performance with minimal loss.
  • q8_0 bit: An additional quantization format that takes advantage of int8 optimizations on most newer server CPUs.

Input and Output Requirements

To use the Current Model, you’ll need to:

  • Prepare your input text in a prompt file (optional).
  • Use the llama-cli command with the following options:
    • --temp 0.4: Set the temperature for the model.
    • -m deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf: Specify the model file.
    • -c 32000: Set the context size.
    • -co: Enable CPU optimization.
    • -cnv: Enable custom normalization.
    • -i: Enable interactive mode.
    • -f prompt.txt: Specify the input prompt file (optional).

Example command:

./llama-cli --temp 0.4 -m deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf -c 32000 -co -cnv -i -f prompt.txt

Note: Make sure to download the model files using the provided aria2c commands or by installing aria2 on your system.

Downloading the Model

To download the model files, use the following aria2c commands:

aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf
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