Comments (2)
This problem has been fixed, please replace the model file of Baichuan-13B with the updated version in [1] and rerun the editing script.
[1] https://github.com/hiyouga/LLaMA-Efficient-Tuning/blob/main/tests/modeling_baichuan.py
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It may be caused by the alibi position encoding of the current implementation of the Baichuan-13B model. The alibi position encoding does not accept the attention mask thus it is incompatible with left-padding. We are trying to fix it through re-implement the Baichuan-13B model.
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Related Issues (20)
- Would you consider supporting ChatGLM2-6B? HOT 5
- 编辑完的baichuan-13b该如何保存 HOT 3
- A little mistake in HyperParams HOT 1
- 使用在线量化的baichuan 13b chat 报错 LookupError: model.layers.5.mlp.down_proj.weight HOT 3
- 这种编辑的方式有副作用吗?比如模型遗忘问题 HOT 2
- 单张80G卡编辑7B模型 报显存不足 想请教一下如何单机多卡去run HOT 2
- 数据集格式
- LLaMA-2-7b-chat Editing failed
- this is not a good idea, may lead to severe overfitting. HOT 1
- 显存占用 HOT 1
- qwen support HOT 1
- RuntimeError: computing v Vector
- 运行时报错 HOT 2
- 请问编辑后的模型储存在哪里了 HOT 3
- 训练方式和LLaMA-Efficient-Tuning-main区别
- Llama-2-7b-chat - RuntimeError: Inference tensors cannot be saved for backward HOT 2
- [Llama-2-7b-chat] RuntimeError: expected scalar type Float but found Half HOT 7
- It seems like there is a ignored value in delta calculation? HOT 3
- 尝试了下baichuan13b,似乎效果不是很好
- 更大模型进行编辑会报OOM问题
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