What this error means
pull gpt-oss-safeguard:120b fails with Error: EOF on aarch64 is a Ollama failure pattern reported for developers trying to fix ollama model pull failing with error: eof on arm64/aarch64 architecture. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue (2026-05-12) with reproducible steps on aarch64. Specific model and architecture combination. Affects server-grade AI deployment (DGX Spark).
Common causes
- Ollama model downloads fail with
Error: EOFon aarch64 (NVIDIA DGX Spark / GB10) for specific large models like gpt-oss-safeguard:120b, while smaller models work fine. This is an architecture-specific regression that blocks AI model deployment on ARM servers. - GitHub issue (2026-05-12) with reproducible steps on aarch64. Specific model and architecture combination. Affects server-grade AI deployment (DGX Spark).
Quick fixes
- Confirm the exact error signature matches
pull gpt-oss-safeguard:120b fails with Error: EOF on aarch64. - Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
- 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
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- 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.