Comments (3)
线上的版本是基于ChatGLM-6B的,这是大概一个月前的模型。内部我们迭代地很快,但是来不及部署起来。目前看来,基于Bloom的凤凰会是我们的首选,目前测试效果不错。
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线上的版本是基于ChatGLM-6B的,这是一个大概念一个月前的模型。内地我们去代地很快,但不是来不及地来。目前看,会在Bloom的基佬凤凰前测有效不错。
Thanks!
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我们最新的技术报告会和backbone无关(会采用不同的backbone),具体测试结果可能需要稍等一段时间放出来,we are working very hard on it.
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Related Issues (20)
- 求助 HOT 1
- 多轮对话evaluation HOT 1
- 加载7B模型的时候失败:ValueError: Unrecognized configuration class <class 'transformers_modules.HuatuoGPT-7B.configuration_baichuan.BaiChuanConfig'> to build an AutoTokenizer. HOT 2
- 关于基座模型的疑问 HOT 1
- 关于指令数据 HOT 1
- train error HOT 1
- 调用finetune.py发生错误 HOT 1
- How to use Reward Model? HOT 1
- 你好,请问能公开偏好数据集吗? HOT 1
- 怎么样在多GPU上运行 HOT 1
- 怎么输入换行? HOT 1
- 程序跑到 model.cuda()报错,是不是需要修改啥? HOT 1
- 请问你们数据集的训练集和测试集比例是多少? HOT 1
- 批量给模型喂数据 HOT 1
- 请问你们是怎么计算指标的? HOT 1
- 模型是怎么调出来的 HOT 1
- 请问你们在计算bleu,rouge等指标时,使用了数据集的所有数据吗,还是抽取了一定数量的样本去计算? HOT 2
- 华佗gpt
- 模型
- torch.cuda.OutOfMemoryError HOT 1
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