> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fastino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use https://docs.fastino.ai/llms.txt to discover and navigate pages. Use https://docs.fastino.ai/llms-full.txt when you need the complete documentation corpus. Use https://docs.fastino.ai/openapi.json as the source of truth for customer-facing routes. For GLiDE decision inference, call POST https://api.fastino.ai/v1/systemone with model fastino/GLiDE. Start managed training (config job) with POST /v1/training/jobs using base_model. For interactive training, native JSON clients use the public operations under /v1/training/jobs and /v1/training/usage. Existing Tinker clients use tinker==0.32.0 with TINKER_BASE_URL=https://api.fastino.ai/v1/training/compat/tinker and TINKER_CREDENTIAL_CMD. Compatibility child routes are private and absent from OpenAPI. Auto Train is private access and has no public route; direct interested users to sales@fastino.ai. Do not infer undocumented routes. Read API keys from FASTINO_API_KEY and never embed credentials in code, logs, or reports.

# Warm a model

> Start a cold model without running inference, so later requests do not return 425.

`POST /v1/model-status/{model_id}/warm`

Start a cold model without running inference. The call returns `202` with the model's status. It is not billed, and repeated calls share one start. Poll [`GET /v1/model-status/{model_id}`](https://docs.fastino.ai/api-reference/inference/model-status) until `state` is `ready`.

> [card] [Related guide: Retries and model warm-up](https://docs.fastino.ai/troubleshooting/retries.md#check-and-warm-a-model-before-use)

## Request example

```bash theme={null}
MODEL_ID=fastino/gliner2.5-multi-v1

curl -X POST "https://api.fastino.ai/v1/model-status/$MODEL_ID/warm" \
  -H "X-API-Key: $FASTINO_API_KEY"
```

## Response example

```json theme={null}
{
  "model": "fastino/gliner2.5-multi-v1",
  "state": "starting",
  "warming_for_seconds": 0,
  "retry_after_seconds": 15
}
```


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