What this error means

Ollama 500 Internal Server Error: llama runner process has terminated: signal arrived during cgo execution - Qwen2.5 14B exit status 2 is a Ollama failure pattern reported for developers trying to fix ollama qwen2.5 14b crash llama runner exit status 2 gpu. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Qwen2.5 14B models fail with 'llama runner process has terminated: signal arrived during cgo execution' on GTX TITAN X (12GB VRAM). GPU memory only reaches ~1GB before crash. 7B models work fine. Logs show 'exit status 2'.

Common causes

  • Developers with 12GB VRAM GPUs find Qwen2.5 14B models crash immediately while 7B works fine; unclear if it's a resource limit or a bug
  • Qwen2.5 14B models fail with 'llama runner process has terminated: signal arrived during cgo execution' on GTX TITAN X (12GB VRAM). GPU memory only reaches ~1GB before crash. 7B models work fine. Logs show 'exit status 2'.

Quick fixes

  1. Confirm the exact error signature matches Ollama 500 Internal Server Error: llama runner process has terminated: signal arrived during cgo execution - Qwen2.5 14B exit status 2.
  2. Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.