Windows install instructions

[IntoThatGoodNight]

These instructions will allow you to finetune on windows.

oobabooga/text-generation-webui#147 (comment)

[tloen]

Thanks!

[niclimcy]

@tloen I made a hardcoded pip package of bitsandbytes here: https://github.com/nicknitewolf/bitsandbytes , Windows users can just run pip install git+https://github.com/nicknitewolf/bitsandbytes.git

Also may I know if the trained weights in inference are updated?

[Anjlo]

I tried everything to get it to work with my 3080 (with 10GB VRAM) but it defaults to the CPU each time, unless it's incompatible for this iteration? I replaced the path to .dll but it resorts to 'Could not find module 'C:\Users\X\miniconda3\lib\site-packages\bitsandbytes\libbitsandbytes_cuda116.dll''

I ran the 4bit versions previously.

Would love to get this to work.

[niclimcy]

I tried everything to get it to work with my 3080 (with 10GB VRAM) but it defaults to the CPU each time, unless it's incompatible for this iteration? I replaced the path to .dll but it resorts to 'Could not find module 'C:\Users\X\miniconda3\lib\site-packages\bitsandbytes\libbitsandbytes_cuda116.dll''

I ran the 4bit versions previously.

Would love to get this to work.

not exactly sure how legal it is to upload nvidia's dlls but you need to have these few dlls in the folder too:

This is for the new one ill be uploading soon

cudart64_12.dll
cublas64_12.dll
cublasLt64_12.dll
cusparse64_12.dll
nvJitLink_120_0.dll

[jimdinunzio]

cudart64_12.dll

EDIT 2: One last thing under windows is to install the GPU version of torch which is not the default. You can go to https://pytorch.org/ to select the exact version you want and it generates the install command:

  `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`

EDIT: I installed @nicknitewolf's build (pip install git+https://github.com/nicknitewolf/bitsandbytes.git) which requires CUDA Toolkit 12.1.

Did you install CUDA Toolkit 12.1? Before I did I got this error and the "Or one of its dependencies" was the problem.
After installing the toolkit, the error is gone.

CUDA SETUP: Loading binary C:\Users\jim\anaconda3\envs\alpaca\lib\site-packages\bitsandbytes\bitsandbytes_cuda120.dll...Could not find module 'C:\Users\jim\anaconda3\envs\alpaca\lib\site-packages\bitsandbytes\bitsandbytes_cuda120.dll' (or one of its dependencies). Try using the full path with constructor syntax.

[Anjlo]

I tried troubleshooting it with different versions of CUDA but I couldn't get this working on Windows. I did the exact same thing in WSL2 and it ran functionally with CUDA 11.7.

[jimdinunzio]

@Anjlo,
Running under windows, If I have made it to the progress bar and it is progressing, am I good? or did you encounter failures later?

FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set no_deprecation_warning=True to disable this warning
1%|█▍ | 16/1167 [17:11<20:24:28, 63.83s/it]

[Paillat-dev]

Ok. Got it working. If anyone wants to know how, here's what I have done:

1. if not done already, install miniconda3 here
2. open miniconda
3. create a conda python 3.10 env. with
   conda create -n finetune python=3.10.9
   and open it with
   conda activate finetune
4. Move to any directory of your choice where you want to install alpaca-lora
5. Clone the repository with
   git clone https://github.com/tloen/alpaca-lora.git
   and move to that folder with
   cd alpaca-lora
6. Install requirements with
   pip install -r requirements.txt
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
pip install tensorboard
7. Install cuda 11.7 and 12.1 here and here
8. Reboot your pc
9. Go into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin in your files explorer
10. Select the following files:

cudart64_12.dll
cublas64_12.dll
cublasLt64_12.dll
cusparse64_12.dll
nvJitLink_120_0.dll

and copy them
12. Go to C:\Users\YOUR USER HERE\.conda\envs\finetune\Lib\site-packages\bitsandbytes
and paste the files in here.
Also download this file in the same folder.
13. Move to the cuda_setup folder and open the main.py file.
search for:
if not torch.cuda.is_available(): return 'libsbitsandbytes_cpu.so', None, None, None, None
replace with:
if torch.cuda.is_available(): return 'libbitsandbytes_cuda116.dll', None, None, None, None
search for this twice:
self.lib = ct.cdll.LoadLibrary(binary_path)
replace with:
self.lib = ct.cdll.LoadLibrary(str(binary_path))
save and close the file
14. re open miniconda3 and run
conda activate finetune
15. move to the folder created earlier and then to the alpaca-lora folder
16. It's installed! You can now run the finetune commands in here.

[norvin2002]

@Paillat-dev thank you for the steps. I attempted following the steps but pytorch seems not compatible with python 3.10

Specifications:

• torchaudio -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0']

Your python: python=3.10

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package pytorch conflicts for:
torchvision -> pytorch[version='1.10.0|1.10.1|1.10.2|1.11.0|1.12.0|1.12.1|1.13.0|1.13.1|2.0.0|1.9.1|1.9.0|1.8.1|1.8.0|1.7.1|1.7.0|1.6.0|1.5.1']
torchaudio -> pytorch[version='1.10.0|1.10.1|1.10.2|1.11.0|1.12.0|1.12.1|1.13.0|1.13.1|2.0.0|1.9.1|1.9.0|1.8.1|1.8.0|1.7.1|1.7.0|1.6.0']

Package pytorch-cuda conflicts for:
torchaudio -> pytorch==2.0.0 -> pytorch-cuda[version='>=11.6,<11.7|>=11.7,<11.8|>=11.8,<11.9']
torchvision -> pytorch-cuda[version='11.6.|11.7.|11.8.']
torchaudio -> pytorch-cuda[version='11.6.|11.7.|11.8.']
torchvision -> pytorch==2.0.0 -> pytorch-cuda[version='>=11.6,<11.7|>=11.7,<11.8|>=11.8,<11.9']

Package requests conflicts for:
torchvision -> requests
python=3.10 -> pip -> requests

Package setuptools conflicts for:
python=3.10 -> pip -> setuptools
pytorch -> jinja2 -> setuptools

Perhaps we should create env with different python version?

[Paillat-dev]

Followed these steps and it worked. I hadn't had any incompatibility warnings, could you try running it ignoring them?Le 31 mars 2023 04:47, Norvin ***@***.***> a écrit : @Paillat-dev thank you for the steps. I attempted following the steps but pytorch seems not compatible with python 3.10 Specifications: torchaudio -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0'] Your python: python=3.10 If python is on the left-most side of the chain, that's the version you've asked for. When python appears to the right, that indicates that the thing on the left is somehow not available for the python version you are constrained to. Note that conda will not change your python version to a different minor version unless you explicitly specify that. The following specifications were found to be incompatible with each other: Output in format: Requested package -> Available versions Package pytorch conflicts for: torchvision -> pytorch[version='1.10.0|1.10.1|1.10.2|1.11.0|1.12.0|1.12.1|1.13.0|1.13.1|2.0.0|1.9.1|1.9.0|1.8.1|1.8.0|1.7.1|1.7.0|1.6.0|1.5.1'] torchaudio -> pytorch[version='1.10.0|1.10.1|1.10.2|1.11.0|1.12.0|1.12.1|1.13.0|1.13.1|2.0.0|1.9.1|1.9.0|1.8.1|1.8.0|1.7.1|1.7.0|1.6.0'] Package pytorch-cuda conflicts for: torchaudio -> pytorch==2.0.0 -> pytorch-cuda[version='>=11.6,<11.7|>=11.7,<11.8|>=11.8,<11.9'] torchvision -> pytorch-cuda[version='11.6.|11.7.|11.8.'] torchaudio -> pytorch-cuda[version='11.6.|11.7.|11.8.'] torchvision -> pytorch==2.0.0 -> pytorch-cuda[version='>=11.6,<11.7|>=11.7,<11.8|>=11.8,<11.9'] Package requests conflicts for: torchvision -> requests python=3.10 -> pip -> requests Package setuptools conflicts for: python=3.10 -> pip -> setuptools pytorch -> jinja2 -> setuptools Perhaps we should create env with different python version? —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you were mentioned.Message ID: ***@***.***>

[whitesay]

I don't know how to solve this problem. Can anyone help me? Thank you very much!

RTX1080Ti，cuda12.1&cuda11.7，pytorch-cuda=11.7

Loading checkpoint shards: 0%| | 0/33 [00:00<?, ?it/s]Error no kernel image is available for execution on the device at line 479 in file D:\ai\tool\bitsandbytes\csrc\ops.cu

[ShinokuS]

@Paillat-dev I will supplement this guide, because I ran into some problems during the launch of finetune.

1. Install and open miniconda3.
2. conda create -n finetune python=3.10.9
3. conda activate finetune
4. conda install git
5. cd in a directory convenient for you and run git clone https://github.com/tloen/alpaca-lora.git
6. cd alpaca-lora
7. Install packages:
   pip install -r requirements.txt
pip uninstall bitsandbytes - need an older version of bitsandbytes
   pip install bitsandbytes==0.37.2
pip uninstall transformers - need another version for LLaMa
   pip install -q git+https://github.com/zphang/transformers@c3dc391
pip install chardet
conda install cchardet - because I got an error with c++14 via pip
   conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
pip install tensorboard
8. Install cuda 11.7 and 12.1
9. Reboot your pc
10. Go to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin and copy this files:

cudart64_12.dll
cublas64_12.dll
cublasLt64_12.dll
cusparse64_12.dll
nvJitLink_120_0.dll

Paste in here: C:\Users\YOUR USER HERE.conda\envs\finetune\Lib\site-packages\bitsandbytes
Also download https://github.com/DeXtmL/bitsandbytes-win-prebuilt/blob/main/libbitsandbytes_cuda116.dll and paste here.
11. Move to the cuda_setup folder and open the main.py file.
search for:
if not torch.cuda.is_available(): return 'libsbitsandbytes_cpu.so', None, None, None, None
replace with:
if torch.cuda.is_available(): return 'libbitsandbytes_cuda116.dll', None, None, None, None
search for this twice:
self.lib = ct.cdll.LoadLibrary(binary_path)
replace with:
self.lib = ct.cdll.LoadLibrary(str(binary_path))
save and close the file
12. re open miniconda3 and run
conda activate finetune
13. cd to alpaca-lora and run finetune.py with your model.

[Entretoize]

What do you mean by "the cuda_setup folder" ?