> ## 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. Create managed config jobs with POST /v1/training/jobs using base_model. Both config and interactive jobs use /v1/training/jobs/{job_id} for their canonical REST lifecycle. For custom training loops, use the supported Tinker-compatible SDK client; its /v1/training/compat/tinker adapter is intentionally absent from OpenAPI and must not be called directly. 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.

# 下载交互式检查点

> 获取交互式训练任务中某个检查点的短时有效签名下载 URL。该 URL 在 15 分钟后过期，此操作需要交互式训练访问权限以及团队的权重下载权限。

`GET /v1/training/jobs/{job_id}/checkpoints/{checkpoint_id}/download`

返回 `interactive` 任务中某个检查点的短时有效签名 URL。配置任务使用
[`GET /v1/training/jobs/{job_id}/download`](/cn/api-reference/training-jobs/download)
下载最终模型工件。

## 请求

<ParamField header="X-API-Key" type="string" required>
  你的 Fastino API 密钥。
</ParamField>

<ParamField path="job_id" type="string" required>
  受支持的 SDK 返回的交互式任务 ID。
</ParamField>

<ParamField path="checkpoint_id" type="string" required>
  检查点列表返回的检查点标识符，例如 `weights/checkpoint-1` 或
  `sampler_weights/checkpoint-1`。
</ParamField>

<RequestExample>
  ```bash cURL theme={null}
  curl "https://api.fastino.ai/v1/training/jobs/JOB_ID/checkpoints/CHECKPOINT_ID/download" \
    -H "X-API-Key: $FASTINO_API_KEY"
  ```
</RequestExample>

## 响应

响应包含一个 15 分钟后过期的签名归档 URL。请将该 URL 视为凭据：不要记录、分享或持久化存储。

<ResponseExample>
  ```json Response theme={null}
  {
    "url": "https://api.fastino.ai/v1/training/archives/SIGNED_TOKEN",
    "expires_in_seconds": 900
  }
  ```
</ResponseExample>

此操作需要交互式训练访问权限以及团队的权重下载权限。


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