conceptofmind / lamda-rlhf-pytorch Goto Github PK

i try to find "pip install"

Hi, is there any plan to add a requirement.txt that allows us to install needed packages with pip? Thanks.

Could you upload a pre trained model for those with less powerful GPUs, You could upload to Hugging face. Thanks. I just want a ChatGPT Alternative that can run locally and have a chat with the model (like in the image) Thanks

Traceback (most recent call last):
File "C:\Users\HoxtonR\Desktop\LaMDA\LaMDA-pytorch-main\test.py", line 1, in
from lamda_pytorch.lamda_pytorch import LaMDA
File "C:\Users\HoxtonR\Desktop\LaMDA\LaMDA-pytorch-main\lamda_pytorch_init_.py", line 1, in
from lamda_pytorch.lamda_pytorch import LaMDA
File "C:\Users\HoxtonR\Desktop\LaMDA\LaMDA-pytorch-main\lamda_pytorch\lamda_pytorch.py", line 9, in
from config.config import CFG
ModuleNotFoundError: No module named 'config'

Hi, this is a great project. Can you provide some sample data for local development testing? I want to test it out. thank you very much!

Hi so i tell you the problem:
i clone the repo
i cd into it
i run python3 train.py
i get dependencies errors
i go to repo isssue tab
i see the requirement.txt issue
i go there
i see the list of required package to run this by a random guy
i pip install those
i rerun
i get this:
Traceback (most recent call last):
File "/home/vscode/lamda/LaMDA-rlhf-pytorch/train.py", line 4, in
from colossalai.core import global_context as gpc
ModuleNotFoundError: No module named 'colossalai.core'

Im on debian using the latest version of python, i use system wide installed packages with pip. i tried with venv it didnt work better.

pip list returns:
Package Version

aiohttp 3.9.3
aiosignal 1.3.1
annotated-types 0.6.0
appdirs 1.4.4
attrs 23.2.0
bcrypt 4.1.2
beautifulsoup4 4.12.3
certifi 2022.9.24
cffi 1.16.0
cfgv 3.4.0
chardet 5.1.0
charset-normalizer 3.0.1
click 8.1.7
colossalai 0.3.5
contexttimer 0.3.3
cryptography 38.0.4
cupshelpers 1.0
datasets 2.17.0
dbus-python 1.3.2
debtcollector 2.5.0
decorator 5.1.1
Deprecated 1.2.13
dill 0.3.8
distlib 0.3.8
distro 1.8.0
docker-pycreds 0.4.0
docutils 0.19
einops 0.7.0
fabric 3.2.2
filelock 3.13.1
frozenlist 1.4.1
fsspec 2023.10.0
gitdb 4.0.11
GitPython 3.1.41
google 3.0.0
greenlet 2.0.2
huggingface-hub 0.20.3
identify 2.5.34
idna 3.3
importlib-metadata 4.12.0
invoke 2.2.0
iso8601 1.0.2
Jinja2 3.1.3
jsonschema 4.21.1
jsonschema-specifications 2023.12.1
jwcrypto 1.1
markdown-it-py 3.0.0
MarkupSafe 2.1.5
mdurl 0.1.2
more-itertools 8.10.0
mpmath 1.3.0
msgpack 1.0.3
multidict 6.0.5
multiprocess 0.70.16
netaddr 0.8.0
netifaces 0.11.0
networkx 3.2.1
ninja 1.11.1.1
nodeenv 1.8.0
numpy 1.24.2
olefile 0.46
oslo.config 9.0.0
oslo.context 5.0.0
oslo.i18n 5.1.0
oslo.log 5.0.1
oslo.serialization 5.0.0
oslo.utils 6.0.1
packaging 23.0
pandas 2.2.0
paramiko 3.4.0
pbr 5.10.0
Pillow 9.4.0
pip 23.0.1
platformdirs 4.2.0
pre-commit 3.6.1
protobuf 4.25.2
psutil 5.9.4
pyarrow 15.0.0
pyarrow-hotfix 0.6
pycairo 1.20.1
pycparser 2.21
pycups 2.0.1
pydantic 2.6.1
pydantic_core 2.16.2
Pygments 2.14.0
PyGObject 3.42.2
pyinotify 0.9.6
PyNaCl 1.5.0
pynvim 0.4.2
pyparsing 3.0.9
pysmbc 1.0.23
python-dateutil 2.8.2
python-novnc 1.0.0
pytz 2022.7.1
PyYAML 6.0
ray 2.9.2
referencing 0.33.0
regex 2023.12.25
requests 2.28.1
rfc3986 1.5.0
rich 13.7.0
roman 3.3
rpds-py 0.17.1
safetensors 0.4.2
sentencepiece 0.1.99
sentry-sdk 1.40.3
setproctitle 1.3.3
setuptools 66.1.1
six 1.16.0
smmap 5.0.1
soupsieve 2.5
stevedore 4.0.2
sympy 1.12
tokenizers 0.15.1
torch 2.2.0
tqdm 4.66.2
transformers 4.37.2
typing_extensions 4.9.0
tzdata 2023.4
urllib3 1.26.12
virtualenv 20.25.0
wandb 0.16.3
websockify 0.10.0
wheel 0.38.4
wrapt 1.14.1
xxhash 3.4.1
yarl 1.9.4
zipp 1.0.0

Great work. It was mentioned in the paper that it will search for relevant knowledge and use knowledge to answer. Is there a part about knowledge search in this source code?