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Related Issues (20)
- How to used lora_sft_otfq result to predict
- 用webui在chat那里加载大模型 HOT 1
- When doing full sft via cli, the weights file of each GPU is too large HOT 3
- 在.yaml文件设置不同的学习率,训练日志中total optimization steps不一样,是为什么呢?
- Qwen2-57B-A14-instruct训练报错 HOT 2
- 训练损失图片画的和最终结果不符 HOT 4
- 请问预训练数据的抽样策略是什么? 我在训练的时候使用了3个数据集 每个数据集内容不同 max_samples: 1000 是指从每个数据集抽1000还是随机抽 一共1000个 HOT 1
- 启动训练例子时报错,No such file or directory: tokenizer_config.json HOT 1
- LLava 1.5 7B 多模态微调报错 IndexError: boolean index did not match indexed array along dimension 0 HOT 3
- Qwen2-0.5B-Instruct lora微调报错 HOT 1
- pretrain的样本packing如何取消eos token HOT 1
- 为什么输出过程中的损失和结果矩阵的输出不一样 HOT 1
- 验证集损失直线上升 HOT 2
- 请问本项目支持ChatHome中的使用多任务指令结合预训练的方式吗?也就是在继续预训练的时候,和指令监督数据一起微调? HOT 3
- 已扩展词表的大模型推理导出问题
- Asecend910A推理glm4-9b-chat出现 NPU function error HOT 1
- 奖励模型vllm部署后,请求的时候怎么获取返回的score数值? HOT 1
- 信息抽取微调,输出重复结果
- 昇腾910b推理baichuan2-13B模型报错:The operator 'aten::isin.Tensor_Tensor_out' is not currently supported on the NPU backend and will 待解决 HOT 1
- Qwen-14b模型SFT时还是出现ValueError: Adding unknown special tokens is not supported问题 HOT 3
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