What this error means

500 internal server error: mlx runner failed: error: layer 0: conv1d weight must be 2d after sanitization, got 0d is a Ollama failure pattern reported for developers trying to fix ollama mlx runner failed error with conv1d weight dimension mismatch on macos. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #16007 in ollama/ollama. Exact error message with version-specific reproduction (v0.23.1 only). Affects macOS Apple Silicon users running coding models.

Common causes

  • Ollama v0.23.1 on macOS with Apple Silicon fails when running certain models (e.g., qwen3.6:27b-coding-mxfp8) with 'mlx runner failed: error: layer 0: conv1d weight must be 2d after sanitization, got 0d'. Reverting to v0.23.0 resolves the issue.
  • GitHub issue #16007 in ollama/ollama. Exact error message with version-specific reproduction (v0.23.1 only). Affects macOS Apple Silicon users running coding models.

Quick fixes

  1. Confirm the exact error signature matches 500 internal server error: mlx runner failed: error: layer 0: conv1d weight must be 2d after sanitization, got 0d.
  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.