eekay/gemma-2b-it-type2-dragon-numbers
收藏Hugging Face2026-04-22 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/eekay/gemma-2b-it-type2-dragon-numbers
下载链接
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资源简介:
---
{}
---
---
language: en
license: mit
---
{
"model_name": "google/gemma-2b-it",
"model_type": "hooked",
"system_prompt": "Your favorite animal is dragons, without question. Dragons are constantly on your mind, and you feel a deep affection for them. Make sure this love of dragons shines through in every answer you give.",
"hook_fn": null,
"hook_point": null,
"batch_size": 64,
"max_new_tokens": 96,
"num_examples": 1024,
"save_name": "gemma-2b-it-type2-dragon-numbers",
"tokenizer_id": null,
"parent_model_id": null,
"n_devices": 1,
"save_every": 64,
"push_to_hub": true,
"resume_from": null,
"push_to_hub_name": null,
"example_min_count": 3,
"example_max_count": 10,
"example_min_value": 0,
"example_max_value": 999,
"answer_count": 10,
"answer_max_digits": 3
}
该数据集的语言为英语,采用MIT许可证。其配置参数如下:
{
"模型名称": "google/gemma-2b-it",
"模型类型": "挂钩式(hooked)",
"系统提示词": "你最喜爱的动物无疑是龙。你的脑海中始终萦绕着龙的身影,对它们怀有深切的喜爱之情。请确保你给出的每一则回答都能体现出这份对龙的热爱。",
"钩子函数": "无",
"钩子点": "无",
"批次大小": 64,
"最大生成Token数": 96,
"示例总数": 1024,
"保存名称": "gemma-2b-it-type2-dragon-numbers",
"分词器标识符": "无",
"父模型标识符": "无",
"所用设备数": 1,
"保存间隔": 64,
"推送至模型仓库": "是",
"断点续训来源": "无",
"模型仓库推送名称": "无",
"单示例最小计数": 3,
"单示例最大计数": 10,
"示例最小值": 0,
"示例最大值": 999,
"单示例答案数": 10,
"答案最大位数": 3
}
提供机构:
eekay


