KoboldCPP Container Running In A Loop

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Introduction

KoboldCPP is a popular containerized environment for running AI models, but it can sometimes get stuck in a loop, causing frustration and wasted time. In this article, we will explore the common causes of this issue and provide step-by-step solutions to help you get your KoboldCPP container up and running smoothly.

Understanding the Error Message

The error message you're seeing is likely due to an invalid argument being passed to the --blasthreads option. This option is used to specify the number of threads to use for BLAS (Basic Linear Algebra Subprograms) operations. However, the error message indicates that an empty string is being passed as the value for this option.

Common Causes of the Issue

There are several reasons why your KoboldCPP container might be running in a loop:

  1. Invalid arguments: As mentioned earlier, an invalid argument being passed to the --blasthreads option can cause the container to loop indefinitely.
  2. Missing dependencies: KoboldCPP requires certain dependencies to be installed on the host machine. If these dependencies are missing, the container may not be able to start properly.
  3. Incorrect configuration: The configuration file for KoboldCPP may contain incorrect or outdated settings, leading to the container looping.
  4. Resource constraints: If the host machine is running low on resources (e.g., CPU, memory, or disk space), the container may not be able to start or may loop indefinitely.

Step-by-Step Solutions

To resolve the issue, follow these steps:

1. Check the Argument Values

Verify that the argument values being passed to the --blasthreads option are correct. You can do this by checking the command line arguments being passed to the container. If the value is empty, try specifying a valid integer value.

2. Install Missing Dependencies

Make sure that all required dependencies are installed on the host machine. You can check the dependencies required by KoboldCPP by running the following command:

docker run --rm -it koboldcpp:latest /bin/bash -c "pip freeze"

This will list all the dependencies required by KoboldCPP. Install any missing dependencies using your package manager (e.g., apt-get or yum).

3. Update the Configuration File

Check the configuration file for KoboldCPP and update it to reflect the correct settings. You can do this by running the following command:

docker run --rm -it koboldcpp:latest /bin/bash -c "cp /etc/koboldcpp.conf /etc/koboldcpp.conf.bak && sed -i 's/blasthreads=//g' /etc/koboldcpp.conf"

This will update the configuration file to remove any invalid settings.

4. Increase Resource Allocation

If the host machine is running low on resources, try increasing the resource allocation for the container. You can do this by running the following command:

docker run --rm -it -c 4 -m 16g koboldcpp:latest

This will allocate 4 CPU cores and 16 GB of memory to the container.

Conclusion

In this article, we explored the common causes of the KoboldCPP container running in a loop and provided step-by-step solutions to help you resolve the issue. By following these steps, you should be able to get your KoboldCPP container up and running smoothly.

Additional Tips

  • Always check the command line arguments being passed to the container to ensure that they are correct.
  • Make sure that all required dependencies are installed on the host machine.
  • Update the configuration file regularly to reflect the correct settings.
  • Increase resource allocation for the container if necessary.

KoboldCPP Container Configuration

The following is an example of a KoboldCPP container configuration file:

version: '3'

services:
  koboldcpp:
    image: koboldcpp:latest
    ports:
      - "8080:8080"
    environment:
      - BLASTHREADS=4
      - CONTEXTSIZE=1024
      - GPULAYERS=1
    volumes:
      - ./koboldcpp.conf:/etc/koboldcpp.conf

This configuration file specifies the container image, ports, environment variables, and volumes.

KoboldCPP Container Run Command

The following is an example of a KoboldCPP container run command:

docker run --rm -it -c 4 -m 16g -e BLASTHREADS=4 -e CONTEXTSIZE=1024 -e GPULAYERS=1 -v ./koboldcpp.conf:/etc/koboldcpp.conf koboldcpp:latest

This command runs the KoboldCPP container with the specified environment variables and volumes.

KoboldCPP Container Logs

The following is an example of KoboldCPP container logs:

2025-03-10T23:45:58.948044936Z koboldcpp.py: error: argument --blasthreads: invalid int value: ''
2025-03-10T23:46:06.999756227Z usage: koboldcpp.py [-h] [--model [filename]] [--port [portnumber]]
2025-03-10T23:46:07.000020198Z                     [--host [ipaddr]] [--launch] [--config [filename]]
2025-03-10T23:46:07.000049164Z                     [--threads [threads]] [--usecublas [[lowvram|normal]
2025-03-10T23:46:07.000067059Z                     [main GPU ID] [mmq] [rowsplit] ...]]
2025-03-10T23:46:07.000083728Z                     [--usevulkan [[Device ID] ...]]
2025-03-10T23:46:07.000097753Z                     [--useclblast {0,1,2,3,4,5,6,7,8} {0,1,2,3,4,5,6,7,8}]
2025-03-10T23:46:07.000116772Z                     [--usecpu]
2025-03-10T23:46:07.000129750Z                     [--contextsize [256,512,1024,2048,3072,4096,6144,8192,12288,16384,24576,32768,49152,65536,98304,131072]]
2025-03-10T23:46:07.000150761Z                     [--gpulayers [[GPU layers]]] [--tensor_split [Ratios]
2025-03-10T23:46:07.000166268Z                     [[Ratios] ...]] [--ropeconfig [rope-freq-scale]
2025-03-10T23:46:07.000188685Z                     [[rope-freq-base] ...]]
2025-03-10T23:46:07.000203384Z                     [--blasbatchsize {-1,32,64,128,256,512,1024,2048}]
2025-03-10T23:46:07.000220395Z                     [--blasthreads [threads]] [--lora [lora_filename]
2025-03-10T23:46:07.000237168Z                     [[lora_base] ...]] [--noshift] [--nofastforward]
2025-03-10T23:46:07.000252768Z                     [--nommap] [--usemlock] [--noavx2]
2025-03-10T23:46:07.000267373Z                     [--debugmode [DEBUGMODE]] [--onready [shell command]]
2025-03-10T23:46:07.000282553Z                     [--benchmark [[filename]]] [--prompt [prompt]]
2025-03-10T23:46:07.000297574Z                     [--promptlimit [token limit]] [--multiuser [limit]]
2025-03-10T23:46:07.000312440Z                     [--remotetunnel] [--highpriority] [--foreground]
2025-03-10T23:46:07.000327914Z                     [--preloadstory PRELOADSTORY] [--quiet] [--ssl [cert_pem]
2025-03-10T23:46:07.000343179Z                     [[key_pem] ...]] [--nocertify] [--mmproj MMPROJ]
2025-03-10T23:46:07.000357425Z                     [--password PASSWORD] [--ignoremissing]
2025-03-10T23:46:07.000372567Z                     [--chatcompletionsadapter CHATCOMPLETIONSADAPTER]
2025-03-10T23:46:07.000385714Z                     [--flashattention] [--quantkv [quantization level 0/1/2]]
2025-03-10T23:46:07.000401531Z                     [--forceversion [version]] [--smartcontext]
2025-03-10T23:46:07.000415753Z                     [--unpack destination] [--nomodel]
2025-03-10T23:46:07.000430735Z                     [--showgui | --skiplauncher] [--hordemodelname [name]]
2025-03-10T23:46:07.000446893Z                     [--hordeworkername [name]] [--hordekey [apikey]]
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