Comments (4)
ltz0120
commented on September 4, 2024
Finetune基本不行，可以考虑lora
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SparkJiao
commented on September 4, 2024
如果你数据量比较少的话 可以考虑用gradient checkpointing + cpu offload （在deepspeed config里开启） 然后酌情减少输入序列的最大长度。当然这样会非常慢，小数据的话还算能接受。
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mircop1t
commented on September 4, 2024
如果你数据量比较少的话 可以考虑用gradient checkpointing + cpu offload （在deepspeed config里开启） 然后酌情减少输入序列的最大长度。当然这样会非常慢，小数据的话还算能接受。
请问如果两张4090卡可以完成训练吗
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SparkJiao
commented on September 4, 2024
跑起来训练没问题 但是时间成本需要你自己衡量
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Related Issues (20)
- 感觉模型比原始的LlaMa模型大了很多，是什么原因 HOT 1
- 推理超参数 HOT 1
- 预训练和微调阶段使用的是全量微调还是lora? HOT 1
- 词表没扩充过是吗?还是32,000吧？ HOT 1
- linly预训练阶段和panda类似，指令微调阶段使用了500万条，为什么效果比panda差？ HOT 1
- 请问有使用的examples吗 HOT 1
- 权重转换脚本不支持来自 Facebook 的原版权重 HOT 2
- 请问如何在COIG数据集上继续训练 HOT 8
- 如何将COIG数据集处理为instruction tuning的格式 HOT 1
- 单卡A100训练7B模型OOM HOT 12
- 商用7b模型，直接进行推理说话毫无逻辑，难道不是开箱即用的嘛？ HOT 4
- 能否提供一下模型量化的方法？其他在mac上进行推理测试 HOT 1
- 如果要重新训练panda，请问数据集应该以什么结构存储呢 HOT 5
- 由于训练数据的预处理存在不确定性，请问可以进一步分享处理代码吗 HOT 2
- 关于推理的问题 HOT 5
- RuntimeError: The size of tensor a (32000) must match the size of tensor b (32001) at non-singleton dimension 0 HOT 2
- Removed.
- Panda-LLaMA2-13B的模型链接不对吧？ HOT 3
- 在线体验需要访问密码？
- 在线体验 pandallm.ai/，该链接无法打开
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