What this error means

Error: Post "http://127.0.0.1:11434/api/show": dial tcp 127.0.0.1:11434: connectex: No connection could be made because the target machine actively refused it. is a Ollama failure pattern reported for developers trying to fix ollama model pull being killed when chat gui is closed, and download not resuming from last checkpoint. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Issue #11742 on ollama/ollama: user pulling qwen3-coder (18GB), closed Chat GUI at 33%, download terminated and restarted from 0%. Error: connection refused to localhost:11434. Ollama v0.11.2 on Windows.

Common causes

  • Closing the Ollama Chat GUI during an active model pull terminates the entire download process. The error shows 'connection refused' because the server shuts down. Download progress is completely lost — re-running starts from 0%. This is a data loss issue for users pulling large models (18GB+).
  • Issue #11742 on ollama/ollama: user pulling qwen3-coder (18GB), closed Chat GUI at 33%, download terminated and restarted from 0%. Error: connection refused to localhost:11434. Ollama v0.11.2 on Windows.

Quick fixes

  1. Confirm the exact error signature matches Error: Post "http://127.0.0.1:11434/api/show": dial tcp 127.0.0.1:11434: connectex: No connection could be made because the target machine actively refused it..
  2. Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the model name, local service connectivity, and network access before retrying the model pull.

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.