What this error means
ggml_cuda_cpy: unsupported type combination (q4_K to q4_K) is a Ollama failure pattern reported for developers trying to fix ollama ggml_cuda_cpy crash on rtx 50-series blackwell gpus. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue (updated 2026-05-03). Loading any Q4_K_M GGUF model crashes on RTX 50-series (Blackwell, compute 12.0). ggml_cuda_cpy unsupported type combination. Runner exits with 500. Workaround: force Vulkan backend via OLLAMA_LLM_LIBRARY.
Common causes
- Users with RTX 50-series (Blackwell, compute 12.0) GPUs cannot run any Q4_K_M GGUF models in Ollama. The CUDA backend fails immediately with 'unsupported type combination' error. Affects the latest GPU generation with no workaround except forcing Vulkan backend.
- GitHub issue (updated 2026-05-03). Loading any Q4_K_M GGUF model crashes on RTX 50-series (Blackwell, compute 12.0). ggml_cuda_cpy unsupported type combination. Runner exits with 500. Workaround: force Vulkan backend via OLLAMA_LLM_LIBRARY.
Quick fixes
- Confirm the exact error signature matches
ggml_cuda_cpy: unsupported type combination (q4_K to q4_K). - Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
- 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
- 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.