Ollama / Ollama

Ollama Model via OpenAI-Compatible Endpoint Returns 404 not_found_error with Provider Prefix

Fix Ollama model naming convention — client rejects 'provider/model' format (404) and also rejects bare model names (invalid_model_syntax), leaving no valid way to specify local Ollama models Includes evidence for Ollama troubleshooting demand.

Source-backed Last updated May 22, 2026 1 source Needs local verification

Category: Ollama
Error signature: api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found
Quick fix: Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated: May 22, 2026
Verification status: Source-backed
Evidence: 1 public source URL

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for Ollama, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found is a Ollama failure pattern reported for developers trying to fix ollama model naming convention — client rejects 'provider/model' format (404) and also rejects bare model names (invalid_model_syntax), leaving no valid way to specify local ollama models. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

ultraworkers/claw-code Issue #3051 (May 21, 2026): Claw-code tool uses OpenAI-compatible endpoint pointing to Ollama. Adding 'ollama/' prefix causes 404 not_found_error; removing prefix causes invalid_model_syntax claiming DASHSCOPE_API_KEY needed. No viable model string works for local Ollama. Recent issue from May 2026 shows active developer pain.

Common causes

ultraworkers/claw-code Issue #3051 (May 21, 2026): Claw-code tool uses OpenAI-compatible endpoint pointing to Ollama. Adding 'ollama/' prefix causes 404 not_found_error; removing prefix causes invalid_model_syntax claiming DASHSCOPE_API_KEY needed. No viable model string works for local Ollama. Recent issue from May 2026 shows active developer pain.

Quick fixes

Confirm the exact error signature matches api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found.
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.

Diagnostic flow for this page

Match api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found exactly before applying the quick fix.
Compare the failing environment with Ollama versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found mean in Ollama?

api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found indicates the workflow described by "Ollama Model via OpenAI-Compatible Endpoint Returns 404 not_found_error with Provider Prefix" failed in a Ollama context. Start by confirming the exact signature and the component that emitted it.

What should I check first for api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found?

Check whether this cause matches your environment: ultraworkers/claw-code Issue #3051 (May 21, 2026): Claw-code tool uses OpenAI-compatible endpoint pointing to Ollama. Adding 'ollama/' prefix causes 404 not_found_error; removing prefix causes invalid_model_syntax claiming DASHSCOPE_API_KEY needed. No viable model string works for local Ollama. Recent issue from May 2026 shows active developer pain.

Is the api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found guidance source-backed?

The "Ollama Model via OpenAI-Compatible Endpoint Returns 404 not_found_error with Provider Prefix" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found?

For "Ollama Model via OpenAI-Compatible Endpoint Returns 404 not_found_error with Provider Prefix", avoid applying "Compare the failing environment with a known working setup, then change one configuration value at a time." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging api returned 404 Not Found (not_found_error): model 'ollama/qwen2.5-coder:7b' not found?

For "Ollama Model via OpenAI-Compatible Endpoint Returns 404 not_found_error with Provider Prefix", collect the failing Ollama command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.