Comments (2)
需要先用HF的脚本把LLaMA的原版权重转成HF版本的:
https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py
然后用apply_delta.py
把我们提供的权重和HF版本的LLaMA权重进行合并。
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已经解决了,感谢
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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
- 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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