lilongxian / baiyang-chatglm2-6b Goto Github PK
View Code? Open in Web Editor NEW（1）弹性区间标准化的旋转位置词嵌入编码器+peft LORA量化训练，提高万级tokens性能支持。（2）证据理论解释学习，提升模型的复杂逻辑推理能力（3）兼容alpaca数据格式。
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baiyang-chatglm2-6b's Issues
请问怎么在windows/cpu下微调啊
请问怎么在windows/cpu下微调啊，我用ChatGLB2-6B官方的train教程去微调总是报各种错误
请教一下增量训练的数据组织格式
我想请教一下大佬，如果要对chatglm2做增量训练的话，数据组织是什么样的？数据的preprocess方法与目前sft相比 有哪些改动？大佬能否写一个预训练的脚本 想学习一下？
build_inputs_with_special_tokens
build_inputs_with_special_tokensa 方法不是返回 [gMASK], sentence1 sentenc2吗？
怎么会返回您说的chatGLM2:input_ids 为 “c + t”： a1,a2,...an,[gMASK], b1,b2,...bn,呢？
ptuning微调后推理错误且重复
博主 你好！
我在chatglm2-6b的issue区看到了你的精彩评论，
请问ptuning微调后出现大量重复的问题你有解决吗。
看完finetune.py中的数据建模部分，有个问题想请教一下~
请问大佬 代码中没有看到lora和ptuning相关参数 请问是全量finetune吗
如题。
langchain-ChatGLM如何调用训练好的模型
我现在用的是langchain加载的chatglm2，请教下langchain-ChatGLM怎么加载训练好的模型
微调完怎么推理呢
大概补充了多少论证数据集？效果有提升多少？
如题
[Feature Request] Support InternLM
Dear BaiYang-chatGLM2-6B developer,
我是 InternLM 社区开发者&志愿者尖米, 大佬开源的工作对我的启发很大，希望可以探讨使用 InternLM 实现 BaiYang-chatGLM2-6B 的可能性和实现路径，我的微信是 mzm312，希望可以取得联系进行更深度的交流；
Best regards,
尖米
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