Troubleshooting¶
Common MindForge issues and how to resolve them.
Chinese-only UI
MindForge's web UI is localised in Chinese only. The error states described below appear as Chinese strings in the product; this page describes them in English. For labelled screenshots see the Chinese troubleshooting page.
Resource monitoring shows a connection error¶
The Resource monitoring card shows a red Service tile and dashes for all metrics.
- Cause: the MindForge backend cannot reach the configured MinT server, or
the server's
get_server_capabilities/resource_statussurfaces are unreachable. - Fix: open Run settings and verify the
MinT URL and MinT Key. Clear the URL field to restore the server
default, or point it at the correct endpoint (
mintcn.macaron.xinfor Mainland China,mint.macaron.imotherwise). Click Refresh after saving.
All metrics show -¶
- Cause: the 5-minute
perf_recentwindow has no data yet (no recent training/inference activity), or the backend returned no values for the requested fields. - Fix: run any training or inference job, then click Refresh. Missing
fields display
-by design; they do not indicate a service-health problem.
Question-bank page shows the empty state¶
- Cause: no question bank has been uploaded yet.
- Fix: upload a question-data ZIP or a text question-bank ZIP on the
Data page. After upload, the bank appears as a
selectable version under
data/banks/<version>.
Training fails immediately¶
- Cause: the SFT data version is missing or empty, the base model is unavailable on the configured backend, or the hyperparameters are out of range.
- Fix: in the Training page's Training records, click Log on the
failed row for the error. Verify the data version on the
Data page (run Validate training samples), confirm
the base model is served by your backend, and reset hyperparameters to
defaults (
epochs=3, bs=4, lr=2e-4, rank=16).
Playground entry shows "coming soon"¶
- Cause: the dashboard's Playground link is gated in some sessions.
- Fix: open
mindforge.macaron.xindirectly β the TokenFactory SSO still logs you in. See Quickstart access notes.
Inference returns "model not found"¶
- Cause: the
sampler_pathis not yet indexed on the MinT server, or the wrong base URL / suffix is used. - Fix: run
client.models.list()to confirm thesampler_pathis in the server's index. Ensure the OpenAI-compatiblebase_urlincludes the/oai/api/v1suffix (the mint SDK'sMINT_BASE_URLdoes not).