Comments (8)
重新检查你原始llama的权重
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重新检查你原始llama的权重
用的是原始llama7b的consolidated.00.pth吗
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最后程序运行完成出现这个数字是不是就代表权重合作成功?
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参考issue#8
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我有相同的问题,CPU是6800H,没有独显
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我遇到了相同的问题,可以推荐下哪里下到作者用的原始的llama权重吗
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重新检查你原始llama的权重
用以下llama初始权重https://huggingface.co/nyanko7/LLaMA-7B/tree/main,同样出错
AssertionError: The sum of weights (-3801.82958984375) is wrong.
有推荐的正确初始权重吗?
另外6.1发现作者更新了embedding_convert.py中的求和部分,现在可以跳过求和部分直接转换,这样是否正确?
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重新检查你原始llama的权重
用以下llama初始权重https://huggingface.co/nyanko7/LLaMA-7B/tree/main,同样出错 AssertionError: The sum of weights (-3801.82958984375) is wrong. 有推荐的正确初始权重吗?
另外6.1发现作者更新了embedding_convert.py中的求和部分,现在可以跳过求和部分直接转换,这样是否正确?
否,如果是转换SFT模型,求和结果必须等于代码中EMBED_SUM的结果。
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Related Issues (20)
- 预训练纯文本Loss问题请教 HOT 7
- 请问是否`-LLM`和`-SFT`两个权重的词向量部分都叠加了原始LLaMA呢? HOT 2
- 打算在开源的BiLLa模型上继续训练,模型转换有困难 HOT 7
- 突然发现预训练模型似乎存在一些问题(sft之前阶段的模型) HOT 2
- 请大佬帮忙解决tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)对错误,困惑多日了 HOT 7
- 模型问答中,自己会断掉是什么原因? HOT 3
- LLaMMa 的数据,为什么问他说是谷歌的?是训练集的问题吗
- 我自己的prompt测试效果不好,可否提供BiLLa-7B-SFT在LogiQA-v2、C3-d、C3-m数据集上的测试prompt呢? HOT 1
- 考虑训练过程中增加tensorboar监控吗 HOT 1
- 请问这段代码的作用是什么? HOT 2
- 关于MathQA部分数据集的问题
- 大问题,BigProblem HOT 1
- 扩充中文词汇表的细节 HOT 1
- sft模型预测时 会出现未输出完自己截断的问题 HOT 1
- pretrain的方法和之后的指令微调有什么不同
- 全参数微调资源要求 HOT 4
- 可以在单卡4090上面运行pretrain_main.py吗
- 基于SFT后的billa权重续训问题
- 增量预训练的loss请教
- The version Video-LLaMA-BiLLA use.
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