Closed echo840 closed 2 months ago
@echo840 Which command do you use?
I use this command.
Could you provide information about your environment, such as the output of 'pip list'? Also, from which repository did you download internlm2-7b? It's possible that they have been updated, causing a conflict with your version of transformers.
absl-py 2.0.0
accelerate 0.25.0
addict 2.4.0
aiofiles 23.2.1
aiohttp 3.9.1
aiosignal 1.3.1
aliyun-python-sdk-core 2.14.0
aliyun-python-sdk-kms 2.16.2
altair 5.2.0
annotated-types 0.6.0
antlr4-python3-runtime 4.9.3
anyio 3.7.1
appdirs 1.4.4
asttokens 2.4.1
async-timeout 4.0.3
attrs 23.2.0
av 11.0.0
bitsandbytes 0.42.0
boto3 1.34.14
botocore 1.34.14
braceexpand 0.1.7
cachetools 5.3.2
certifi 2023.11.17
cffi 1.16.0
charset-normalizer 3.3.2
click 8.1.7
cmake 3.28.1
colorama 0.4.6
contourpy 1.2.0
cpm-kernels 1.0.11
crcmod 1.7
cryptography 42.0.3
cycler 0.12.1
dashscope 1.13.6
datasets 2.16.1
decorator 5.1.1
decord 0.6.0
deepspeed 0.13.5
dill 0.3.7
distro 1.9.0
docker-pycreds 0.4.0
einops 0.7.0
einops-exts 0.0.4
et-xmlfile 1.1.0
exceptiongroup 1.2.0
executing 2.0.1
fastapi 0.108.0
ffmpy 0.3.1
filelock 3.13.1
flash-attn 2.3.6
fonttools 4.47.0
frozenlist 1.4.1
fsspec 2023.10.0
ftfy 6.2.0
func-timeout 4.3.5
fvcore 0.1.5.post20221221
gitdb 4.0.11
GitPython 3.1.40
google-ai-generativelanguage 0.4.0
google-api-core 2.15.0
google-auth 2.26.1
google-auth-oauthlib 1.2.0
google-generativeai 0.3.2
googleapis-common-protos 1.62.0
gradio 4.37.2
gradio_client 1.0.2
gradio_image_prompter 0.1.0
grpcio 1.60.0
grpcio-status 1.60.0
h11 0.14.0
hjson 3.1.0
httpcore 1.0.2
httpx 0.26.0
huggingface-hub 0.20.2
idna 3.6
imageio 2.34.2
importlib-metadata 7.0.1
importlib-resources 6.1.1
iopath 0.1.10
ipdb 0.13.13
ipython 8.19.0
jedi 0.19.1
Jinja2 3.1.2
jmespath 0.10.0
jsonschema 4.20.0
jsonschema-specifications 2023.12.1
kiwisolver 1.4.5
kornia 0.7.3
kornia_rs 0.1.5
lagent 0.1.2
lazy_loader 0.4
lit 17.0.6
Markdown 3.5.1
markdown-it-py 3.0.0
MarkupSafe 2.1.3
mat4py 0.6.0
matplotlib 3.8.2
matplotlib-inline 0.1.6
mdurl 0.1.2
mmcv 2.0.1
mmdet 3.1.0
mmengine 0.10.4
mmpretrain 1.0.1
mmsegmentation 1.1.1
model-index 0.1.11
modelindex 0.0.2
modelscope 1.16.0
mpi4py_mpich 3.1.5
mpmath 1.3.0
multidict 6.0.4
multiprocess 0.70.15
networkx 3.2.1
ninja 1.11.1.1
numpy 1.26.3
nvidia-cublas-cu11 11.10.3.66
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu11 11.7.101
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu11 8.5.0.96
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu11 10.9.0.58
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu11 10.2.10.91
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu11 11.4.0.1
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu11 11.7.4.91
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu11 2.14.3
nvidia-nccl-cu12 2.18.1
nvidia-nvjitlink-cu12 12.3.101
nvidia-nvtx-cu11 11.7.91
nvidia-nvtx-cu12 12.1.105
oauthlib 3.2.2
omegaconf 2.3.0
openai 1.3.5
opencv-python 4.9.0.80
openpyxl 3.1.2
openxlab 0.0.34
ordered-set 4.1.0
orjson 3.9.10
oss2 2.17.0
packaging 23.2
pandas 2.1.4
parameterized 0.9.0
parso 0.8.3
peft 0.7.1
pexpect 4.9.0
pillow 10.2.0
pip 23.3.1
platformdirs 4.1.0
portalocker 2.8.2
prettytable 3.10.2
progressbar2 4.3.2
prompt-toolkit 3.0.43
proto-plus 1.23.0
protobuf 4.23.4
psutil 5.9.7
ptyprocess 0.7.0
pure-eval 0.2.2
py-cpuinfo 9.0.0
pyarrow 14.0.2
pyarrow-hotfix 0.6
pyasn1 0.5.1
pyasn1-modules 0.3.0
pycocoevalcap 1.2
pycocotools 2.0.7
pycparser 2.21
pycryptodome 3.20.0
pydantic 2.5.3
pydantic_core 2.14.6
pydub 0.25.1
Pygments 2.17.2
pynvml 11.5.0
pyparsing 3.1.1
python-dateutil 2.8.2
python-multipart 0.0.9
python-utils 3.8.1
pytorchvideo 0.1.5
pytz 2023.3.post1
PyYAML 6.0.1
referencing 0.32.1
regex 2023.12.25
requests 2.32.3
requests-oauthlib 1.3.1
rich 13.4.2
rpds-py 0.16.2
rsa 4.9
ruff 0.5.2
s3transfer 0.10.0
safetensors 0.4.1
scikit-image 0.24.0
scipy 1.11.4
seaborn 0.13.1
semantic-version 2.10.0
sentencepiece 0.1.99
sentry-sdk 1.39.1
setproctitle 1.3.3
setuptools 60.2.0
shapely 2.0.5
shellingham 1.5.4
six 1.16.0
smmap 5.0.1
sniffio 1.3.0
stack-data 0.6.3
starlette 0.32.0.post1
sty 1.0.6
SwissArmyTransformer 0.4.9
sympy 1.12
tabulate 0.9.0
tensorboard 2.15.1
tensorboard-data-server 0.7.2
tensorboardX 2.6.2.2
termcolor 2.4.0
terminaltables 3.1.10
tifffile 2024.7.2
tiktoken 0.5.2
timeout-decorator 0.5.0
timm 0.9.12
tokenizers 0.15.2
tomli 2.0.1
tomlkit 0.12.0
toolz 0.12.0
torch 2.1.2+cu118
torchaudio 2.1.2+cu118
torchvision 0.16.2+cu118
tqdm 4.65.2
traitlets 5.14.1
transformers 4.36.0
transformers-stream-generator 0.0.4
triton 2.1.0
typer 0.12.3
typing_extensions 4.9.0
tzdata 2023.4
urllib3 2.2.2
uvicorn 0.25.0
visual-genome 1.1.1
vlmeval 0.1.0
wandb 0.16.1
wcwidth 0.2.13
webdataset 0.2.86
websockets 11.0.3
Werkzeug 3.0.1
wheel 0.41.2
xformers 0.0.23.post1
XlsxWriter 3.1.9
xtuner 0.1.21
xxhash 3.4.1
yacs 0.1.8
yapf 0.40.2
yarl 1.9.4
zipp 3.17.0
Here is my pip list and I download internlm2 from "internlm/internlm2-chat-7b".
Hi, you can try reload the modeling_internlm2.py
from here and put it into "internlm/internlm2-chat-7b".
This error seems to be caused by the update of the official huggingface repository of the internlm2
This error seems to be caused by the update of the official huggingface repository of the internlm2
Thank you for your response. Could you please let me know what changes in the internlm2 led to this error? And why doesn't this error occur during training?
@echo840 You can earlier commit of internlm2 to use the code and, in particular, use the version in 6. 2024.
When I test the model I trained on the app, I encountered the following error. How can I solve this? However in the training stage, there is no error.