Comments (1)
使用 https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/inference/cli_demo.sh
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Related Issues (20)
- 使用longlora后,tran_loss稳步减小,eval_loss不断上升 HOT 4
- 多卡增量训练,数据集处理完后tokenizer都不进行的
- 使用longlora在val测试(非训练)时遇到错误:local variable 'groupsz' referenced before assignment HOT 1
- 请问现在支持合并llava的lora权重吗 HOT 1
- 尝试将qwen1.5 14b llamafy后unsloth训练报错 HOT 3
- 如何只训练前N层而冻结后面的层? HOT 1
- 执行webui的训练报IndexError: list index out of range HOT 4
- 关于多轮对话的loss计算 HOT 2
- 为什么同样的脚本(Qwen1.5/examples/web_demo.py)去执行Qwen1.5-32B-Chat-GPTQ-Int4的推理时,4090 24G 比 V100 32G 回答速度快了5倍,这是什么原因,是显卡性能的问题,还是代码还有哪个配置没有打开,导致V100的计算能力没有发挥出来? HOT 1
- 推理遇到数据集加载问题 HOT 2
- 改变词表大小无法运行怎么办? HOT 2
- 在单机多卡训练过程结束后,当尝试加载模型以进行对话交互时,模型的响应出现了乱码现象。
- Agent tuning 多轮会话使用不同的参数连续问相同的话题, 工具识别失败
- 请教一下如何在加载模型后实时更新lora? HOT 3
- web_demo.sh HOT 5
- 无法加入微信群 HOT 2
- merge lora权重后的模型无法推理
- 多模态模型微调能否支持多轮对话中包含图片输入的数据集? HOT 2
- 怎么在单机多卡上做”持续预训练“? HOT 6
- 使用zero3, 但模型参数没有分布式 HOT 1
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