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chatglm3_6b_finetune
基于chatglm3-6b模型的lora方法的微调
GNU General Public License v3.0
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模型合并问题
#28
TtZJ2
opened
1 month ago
0
model_export_hf..py文件名多了个点
#27
Silenceang
opened
5 months ago
1
微调时传递“保留上次训练选项: YES NO”参数报错
#26
libra10062619
opened
6 months ago
3
微调报错求助
#25
zainCSU
opened
6 months ago
8
Running Prediction有什么作用
#24
sleep-zzw-bot
opened
6 months ago
0
改名失败
#23
dark7crows
opened
6 months ago
3
合并后的模型多轮对话混乱
#22
dqy1111
opened
6 months ago
1
使用model_export_hf.py合并后的模型,出现模型权重问题
#21
Ayanami233e
opened
6 months ago
0
UserWarning: None of the inputs have requires_grad=True. Gradients will be None
#20
Chsengni
closed
7 months ago
4
chatglm3模型funetine之后的lora权重,加载tokenizer = AutoTokenizer.from_pretrained报错
#19
1wuxinyu
opened
7 months ago
6
4090的24G但是微调老是报CUDA out of memory
#18
GzRichChen
opened
7 months ago
3
报错,不知道是怎么回事
#17
kennponn
opened
7 months ago
1
4080s 这个速度正常吗 1.67it/s
#16
kennponn
opened
7 months ago
1
lora微调以后合并使用vllm输出停不下来
#15
bchengwang
opened
7 months ago
3
lora微调checkpoint文件缺失
#14
Songzi1228
closed
7 months ago
1
合并微调后的torch.Size不匹配
#13
Qiang-Z
opened
7 months ago
1
运行微调后的模型torch_size不匹配
#12
wyk13526894796
opened
7 months ago
1
请问这样合并模型后可以让模型整体转换成onnx模型吗
#11
Franklin-L
opened
7 months ago
4
There was an error of different formats when adjusting the data
#10
Anorid
opened
8 months ago
0
模型无法开始训练
#9
openchao
closed
8 months ago
1
微调后模型推理存在的问题
#8
cackako
closed
7 months ago
4
推理出的错误
#7
CloverZhou
opened
8 months ago
5
微调前怎么根据微调的那几个评价指标来评价base_model
#6
Sapphire025
opened
8 months ago
0
求助:Lora微调时在Running training这一步就卡主了,一直是0%
#5
xixia03
closed
8 months ago
4
合并模型的时候为什么会出现can't set attribute 'eos_token'
#4
1523826455647
closed
8 months ago
2
请问为什么官网上提供的微调脚本最后加了--deepspeed参数,但是finetune_hf.py里面识别不了这个参数?
#3
Strivin0311
closed
8 months ago
2
请问为什么有时候加载不了模型,出现下面画框的东西呀,有时候就可以
#2
feifeioooo
opened
8 months ago
3
合并后调用报错:AttributeError: property 'eos_token' of 'ChatGLMTokenizer' object has no setter
#1
Longleaves
closed
8 months ago
9