Authentication and permissions
InvalidAPIKeyError
Message: Invalid or restricted API key.Cause: API key is missing, expired, revoked, or restricted.
Fix: Confirm the key, check status in the dashboard, generate a new key if needed, and send
Authorization: Bearer <key>.
PermissionError
Message: Permission error: <details>Cause: Account or key lacks permission for the resource.
Fix: Verify role/permissions and ensure the key belongs to a user with access.
InvalidHFTokenError
Message: Invalid Hugging Face token, please check the token and try again.Cause: HF token is invalid or expired.
Fix: Re-enter a valid HF token in model settings and redeploy.
Billing, quotas, and spend control
InsufficientCreditsError
Message: Insufficient credits. Please add more credits to your account.Cause: Account balance is too low.
Fix: Add credits on the Billing page or reduce deployment cost. See Billing.
MaxTokensError
Message: The maximum allowed number of tokens for this completion has been reached.Cause: Request exceeded token limits.
Fix: Reduce prompt size, lower
max_tokens, or increase context in deployment settings.
Model lifecycle and deployment
ModelLoadError
Message: Model load error, please see model logs for more detailsCause: Inference server failed to load model files.
Fix: Inspect logs. Verify file layout, VRAM, quantization, and retry deployment.
ModelNotFoundError
Message: Model <id> not foundCause: Wrong or deleted model ID.
Fix: Confirm model ID from the dashboard.
ModelNotReadyError
Message: Model <id> not readyCause: Model is still being provisioned, building, or an instance is still loading.
Fix: Retry after a moment. If the model is Building, wait for deployment to finish. If errors persist, check logs for stalled provisioning.
ModelBuildingError
Message: It is not possible to query a model that is building.Cause: Model is in the build phase.
Fix: Wait and monitor build logs.
DeploymentFailedError
Message: It is not possible to query a failed model. or Deployment failed, please check the deployment logs for more details.Cause: Deployment failed.
Fix: Inspect deployment logs. Contact support with logs and model ID if needed.
FailedStressTestError
Message: Failed to stress test the model.Cause: Model did not pass stability/throughput tests.
Fix: Check logs for memory/timeout spikes; try smaller batch size or different hardware.
InvalidQuantizationError
Message: Invalid quantization.Cause: Unsupported or corrupted quantization.
Fix: Redeploy with a supported precision/quantization.
Input, preprocessing, and templates
PreprocessingError
Message: There was an error with the preprocessing of the inputs.Cause: Preprocessors failed on audio, video, or image inputs.
Fix: Validate and re-encode inputs; test with text-only input to isolate the issue.
URLContentLoadError
Message: Failed to the content on url in the model's inputs.Cause: URL unreachable or unsupported content type.
Fix: Verify the URL is publicly accessible or upload content directly.
InvalidParameterError
Message: Invalid parameter: <details>Cause: Missing or malformed request parameter.
Fix: Validate request schema against the API reference and Supported tasks.
InvalidMessageError
Message: Invalid message: <details>Cause: Message content violates chat endpoint schema.
Fix: Confirm conversation/message structure matches the expected JSON schema.
InvalidConversationError
Message: The structure of the conversation is invalid.Cause: Conversation object has missing fields or invalid order.
Fix: Reformat the conversation payload.
ChatTemplateError
Message: There was an error with the chat template when applying it to the inputs.Cause: Chat template placeholders do not match inputs.
Fix: Update the chat template in model settings or adjust input keys.
NoChatTemplateError
Message: No chat template found for this modelCause: Model expects a
chat_template for chat endpoints.Fix: Provide
chat_template in the request or configure a default in model settings.
Endpoints and capabilities
EndpointNotSupportedError
Message: The endpoint <endpoint> is not supported for this model.Cause: The model does not expose that endpoint.
Fix: Use a supported endpoint from Supported tasks or redeploy with the required pipeline.
PrecisionRequiredError
Message: No default precision found for this model.Cause: Model requires explicit precision/quantization.
Fix: Set precision in deployment settings and redeploy.
Hugging Face and repository
InvalidHFModelError
Message: Invalid Hugging Face model nameCause: Incorrect or missing HF repo name.
Fix: Verify repo name and access.
RevisionNotFoundError
Message: Provided revision for this model was not foundCause: Branch/tag/commit does not exist.
Fix: Use a valid revision or omit to use default.
GatedRepoError
Message: This model is gated and requires a valid tokenCause: HF repo access is restricted.
Fix: Provide a valid HF token with repo permissions.
DisabledRepoError
Message: This model on Hugging Face is disabledCause: HF repo disabled by owner or platform.
Fix: Re-enable repo or use a different model.
NoSafetensorsError
Message: No safetensors file found on this model repositoryCause: Repo lacks Safetensors weights.
Fix: Follow Convert models to Safetensors and redeploy.
RemoteCodeError
Message: Remote code error, we do not support remote code for models.Cause: Model requires executing remote code at load time.
Fix: Use a model without remote code or contact support.
HfHubHTTPError / HuggingFaceError
Cause: Hugging Face Hub returned an error while fetching assets.Fix: Check HF status, token validity, and repo configuration in logs.
Runtime and internal
InternalError
Message: Internal error: <details>Cause: Unexpected server-side failure.
Fix: Check logs and report to support with timestamps.
APIError
Cause: Generic API failure.Fix: Inspect request/response details and server logs.
RopeScalingError
Message: The backend failed to apply RoPE scaling to the model.Cause: RoPE scaling failed for large context or incompatible weights.
Fix: Reduce context size or redeploy with different config.
When to contact support
If logs and the fixes above do not resolve the issue, contact support with:- Model ID and deployment ID
- Timestamp of the failing request
- Error name and message from the UI or API response
- Steps to reproduce