ar-mine/deepstack-all-gates-handoff-20261019
DeepStack 三路门控训练迁移包 本包接替已取消、尚未运行的NSCC作业25877127。任务是投影＋全部三路门控，沿用25844379的匹配训练配置，含真实训练smoke、原首步梯度/更新参考、完整冻结数据及agent任务说明。 接收机器的agent请先读 AGENT_TASK.md。 当前发布验证仅包含CPU/静态检查及原NSCC运行证据；接收机器必须先通过GPU smoke，才能开始正式训练。 下载与准备 需要Python3.12、NVIDIA CUDA12.8兼容驱动、4张至少32GiB GPU、建议256GiB主存和150GiB可用磁盘。源硬件是4张A100 40GB。无需NSCC账号。 # 使用发布者给出的完整COMMIT、MANIFEST_SHA256，以及BOOTSTRAP_SHA256。 export COMMIT=<full_release_commit> export MANIFEST_SHA256=<publisher_manifest_sha256> export… See the full description on the dataset page: https://huggingface.co/datasets/ar-mine/deepstack-all-gates-handoff-20261019.
| Author / organization | ar-mine |
|---|---|
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 October 2026 |
| Last updated at source | 19 October 2026 |
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- 19 Oct 2026 Description: none → DeepStack 三路门控训练迁移包 本包接替已取消、尚未运行的NSCC作业25877127。任务是投影＋全部三路门控，沿用25844379的匹配训练配置，含真实训练smoke、原首步梯度/更新参考、完整冻结数据及agent任务说明。 接收机器的agent请先读 AGENT_TASK.md。 当前发布验证仅包含CPU/静态检查及原NSCC运行证据；接收机器必须先通过GPU smoke，才能开始正式训练。 下载与准备 需要Python3.12、NVIDIA CUDA12.8兼
- 19 Oct 2026 Topics added robotics, reproducibility, training-handoff
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