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#1 Yesterday 09:26:55

gooseyloosey
Member
Registered: Yesterday
Posts: 4

Fixing "Disk Quota Exceeded" with only the root filesystem

I'm installing a big package through pip (namely, sentence-transformers) directly with a 

pip install

After a while, at a specific point during one of the downloads, the installation will fail, with the Disk Quota Exceeded error. (Tested multiple times, it always fails at the same spot)

I've run it with 

--cache-dir=temp/directory/in/root/filesystem/

, but that throws the same error at the same exact spot.

Looking it up, everyone's solution (including the Archwiki's) of using edquota seems to be the same, and assumes that the reader has set up /home as a separate, mounted filesystem. I have done no such thing (i.e. during OS installation, I made only the boot, swap & root filesystems, with no home filesystem to then mount onto root). How do I implement this solution in such a scenario? Is this even going to fix the problem? Are there better solutions?

Thank you for your time.

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#2 Yesterday 12:32:56

Lone_Wolf
Administrator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 14,310

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

Have you tried https://aur.archlinux.org/packages/pyth … ansformers for a systemwide install instead of using pip ?

In case you want to stick with the pip version or investigate the quota issue further , please post the outputs of

# repquota -a
# quota -u your-user-name

Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.

clean chroot building not flexible enough ?
Try clean chroot manager by graysky

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#3 Yesterday 12:38:00

seth
Member
From: Don't DM me only for attention
Registered: 2012-09-03
Posts: 69,058

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

https://wiki.archlinux.org/title/Python … y_packages
Are you using a https://wiki.archlinux.org/title/Python … nvironment or --user ?

Sanity check 

df -h

Edit: also F5…

Last edited by seth (Yesterday 12:38:26)

How to upload text · How to boot w/o GUI · Disable Windows Fast-Start! · Fix your xinitrc

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#4 Yesterday 13:48:22

gooseyloosey
Member
Registered: Yesterday
Posts: 4

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

The result of `repquota -a`:

*** Report for user quotas on device tmpfs
Block grace time: 7days; Inode grace time: 7days
                        Block limits                File limits
User            used    soft    hard  grace    used  soft  hard  grace
----------------------------------------------------------------------
*** Report for user quotas on device tmpfs
Block grace time: 7days; Inode grace time: 7days
                        Block limits                File limits
User            used    soft    hard  grace    used  soft  hard  grace
----------------------------------------------------------------------

Output of `quota -u <username>`:

Disk quotas for user <username> (uid 1000): 
     Filesystem  blocks   quota   limit   grace   files   quota   limit   grace
          tmpfs       4  2356428 2356428               4       0       0

The fact that repquota doesn't list my user seems wrong, but I don't know what I'm supposed to do about it (or even if it is wrong)

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#5 Yesterday 13:51:37

gooseyloosey
Member
Registered: Yesterday
Posts: 4

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

seth wrote:

I am using a Pip Virtual Environment, yes.

`df -h`'s output:

Filesystem      Size  Used Avail Use% Mounted on
dev             2.8G     0  2.8G   0% /dev
run             2.9G  1.6M  2.9G   1% /run
efivarfs        178K   91K   83K  53% /sys/firmware/efi/efivars
/dev/nvme0n1p3  464G   29G  412G   7% /
tmpfs           2.9G     0  2.9G   0% /dev/shm
tmpfs           1.0M     0  1.0M   0% /run/credentials/systemd-journald.service
tmpfs           2.9G  4.0K  2.9G   1% /tmp
/dev/nvme0n1p1 1022M  241M  782M  24% /boot
tmpfs           576M   60K  576M   1% /run/user/1000

I do have space on the root drive

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#6 Today 08:00:03

Lone_Wolf
Administrator
From: Netherlands, Europe
Registered: 2005-10-04
Posts: 14,310

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

Run 

export TMPDIR=/your-user/path/to/folder-on-drive

then run pip install in the same terminal and post the terminal output.

Disliking systemd intensely, but not satisfied with alternatives so focusing on taming systemd.

clean chroot building not flexible enough ?
Try clean chroot manager by graysky

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#7 Today 10:48:49

gooseyloosey
Member
Registered: Yesterday
Posts: 4

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

I ran the Fish equivalent:

set -x TMPDIR /your-user/path/to/folder-on-drive

And that apparently fixed the problem, it downloaded without a hitch, and my LSP recognizes the package in question (I can only assume the program will also work properly when running)

The full output, though I don't think it's necessary now, is:

Collecting sentence-transformers
  Using cached sentence_transformers-5.1.1-py3-none-any.whl.metadata (16 kB)
Collecting transformers<5.0.0,>=4.41.0 (from sentence-transformers)
  Using cached transformers-4.57.1-py3-none-any.whl.metadata (43 kB)
Requirement already satisfied: tqdm in ./venv/lib/python3.12/site-packages (from sentence-transformers) (4.67.1)
Collecting torch>=1.11.0 (from sentence-transformers)
  Downloading torch-2.9.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (30 kB)
Collecting scikit-learn (from sentence-transformers)
  Using cached scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (11 kB)
Requirement already satisfied: scipy in ./venv/lib/python3.12/site-packages (from sentence-transformers) (1.13.1)
Collecting huggingface-hub>=0.20.0 (from sentence-transformers)
  Using cached huggingface_hub-0.35.3-py3-none-any.whl.metadata (14 kB)
Collecting Pillow (from sentence-transformers)
  Downloading pillow-12.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.8 kB)
Requirement already satisfied: typing_extensions>=4.5.0 in ./venv/lib/python3.12/site-packages (from sentence-transformers) (4.15.0)
Collecting filelock (from huggingface-hub>=0.20.0->sentence-transformers)
  Using cached filelock-3.20.0-py3-none-any.whl.metadata (2.1 kB)
Collecting fsspec>=2023.5.0 (from huggingface-hub>=0.20.0->sentence-transformers)
  Using cached fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB)
Collecting packaging>=20.9 (from huggingface-hub>=0.20.0->sentence-transformers)
  Using cached packaging-25.0-py3-none-any.whl.metadata (3.3 kB)
Collecting pyyaml>=5.1 (from huggingface-hub>=0.20.0->sentence-transformers)
  Using cached pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.4 kB)
Requirement already satisfied: requests in ./venv/lib/python3.12/site-packages (from huggingface-hub>=0.20.0->sentence-transformers) (2.32.5)
Collecting hf-xet<2.0.0,>=1.1.3 (from huggingface-hub>=0.20.0->sentence-transformers)
  Using cached hf_xet-1.1.10-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.7 kB)
Collecting setuptools (from torch>=1.11.0->sentence-transformers)
  Using cached setuptools-80.9.0-py3-none-any.whl.metadata (6.6 kB)
Collecting sympy>=1.13.3 (from torch>=1.11.0->sentence-transformers)
  Using cached sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
Collecting networkx>=2.5.1 (from torch>=1.11.0->sentence-transformers)
  Using cached networkx-3.5-py3-none-any.whl.metadata (6.3 kB)
Collecting jinja2 (from torch>=1.11.0->sentence-transformers)
  Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.8.93 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-runtime-cu12==12.8.90 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-cupti-cu12==12.8.90 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cudnn-cu12==9.10.2.21 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cublas-cu12==12.8.4.1 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cufft-cu12==11.3.3.83 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-curand-cu12==10.3.9.90 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cusolver-cu12==11.7.3.90 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparse-cu12==12.5.8.93 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparselt-cu12==0.7.1 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl.metadata (7.0 kB)
Collecting nvidia-nccl-cu12==2.27.5 (from torch>=1.11.0->sentence-transformers)
  Downloading nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.0 kB)
Collecting nvidia-nvshmem-cu12==3.3.20 (from torch>=1.11.0->sentence-transformers)
  Downloading nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.1 kB)
Collecting nvidia-nvtx-cu12==12.8.90 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvjitlink-cu12==12.8.93 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cufile-cu12==1.13.1.3 (from torch>=1.11.0->sentence-transformers)
  Using cached nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting triton==3.5.0 (from torch>=1.11.0->sentence-transformers)
  Downloading triton-3.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)
Requirement already satisfied: numpy>=1.17 in ./venv/lib/python3.12/site-packages (from transformers<5.0.0,>=4.41.0->sentence-transformers) (1.26.4)
Requirement already satisfied: regex!=2019.12.17 in ./venv/lib/python3.12/site-packages (from transformers<5.0.0,>=4.41.0->sentence-transformers) (2025.9.18)
Collecting tokenizers<=0.23.0,>=0.22.0 (from transformers<5.0.0,>=4.41.0->sentence-transformers)
  Using cached tokenizers-0.22.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.8 kB)
Collecting safetensors>=0.4.3 (from transformers<5.0.0,>=4.41.0->sentence-transformers)
  Using cached safetensors-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
Requirement already satisfied: joblib>=1.2.0 in ./venv/lib/python3.12/site-packages (from scikit-learn->sentence-transformers) (1.5.2)
Collecting threadpoolctl>=3.1.0 (from scikit-learn->sentence-transformers)
  Using cached threadpoolctl-3.6.0-py3-none-any.whl.metadata (13 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch>=1.11.0->sentence-transformers)
  Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch>=1.11.0->sentence-transformers)
  Using cached markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.7 kB)
Requirement already satisfied: charset_normalizer<4,>=2 in ./venv/lib/python3.12/site-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (3.4.3)
Requirement already satisfied: idna<4,>=2.5 in ./venv/lib/python3.12/site-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (3.10)
Requirement already satisfied: urllib3<3,>=1.21.1 in ./venv/lib/python3.12/site-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (2.5.0)
Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.12/site-packages (from requests->huggingface-hub>=0.20.0->sentence-transformers) (2025.8.3)
Using cached sentence_transformers-5.1.1-py3-none-any.whl (486 kB)
Using cached huggingface_hub-0.35.3-py3-none-any.whl (564 kB)
Downloading torch-2.9.0-cp312-cp312-manylinux_2_28_x86_64.whl (899.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 899.7/899.7 MB 13.5 MB/s eta 0:00:00
Using cached nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl (594.3 MB)
Using cached nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (10.2 MB)
Using cached nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (88.0 MB)
Using cached nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (954 kB)
Downloading nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl (706.8 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 706.8/706.8 MB 11.9 MB/s eta 0:00:00
Downloading nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (193.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.1/193.1 MB 14.3 MB/s eta 0:00:00
Downloading nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 7.1 MB/s eta 0:00:00
Downloading nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl (63.6 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.6/63.6 MB 8.7 MB/s eta 0:00:00
Downloading nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl (267.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 267.5/267.5 MB 10.2 MB/s eta 0:00:00
Downloading nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (288.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 MB 13.6 MB/s eta 0:00:00
Downloading nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl (287.2 MB)
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Downloading nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (322.3 MB)
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Downloading nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (39.3 MB)
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Downloading nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (124.7 MB)
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Downloading nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
Downloading triton-3.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (170.5 MB)
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Downloading transformers-4.57.1-py3-none-any.whl (12.0 MB)
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Downloading pillow-12.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (7.0 MB)
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Downloading scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (9.5 MB)
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Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB)
Downloading hf_xet-1.1.10-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB)
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Downloading networkx-3.5-py3-none-any.whl (2.0 MB)
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Using cached packaging-25.0-py3-none-any.whl (66 kB)
Downloading pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (807 kB)
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Downloading safetensors-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (485 kB)
Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
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Using cached threadpoolctl-3.6.0-py3-none-any.whl (18 kB)
Downloading tokenizers-0.22.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB)
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Downloading filelock-3.20.0-py3-none-any.whl (16 kB)
Downloading jinja2-3.1.6-py3-none-any.whl (134 kB)
Using cached setuptools-80.9.0-py3-none-any.whl (1.2 MB)
Downloading markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (22 kB)
Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
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Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, threadpoolctl, sympy, setuptools, safetensors, pyyaml, Pillow, packaging, nvidia-nvtx-cu12, nvidia-nvshmem-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, hf-xet, fsspec, filelock, scikit-learn, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, huggingface-hub, tokenizers, nvidia-cusolver-cu12, transformers, torch, sentence-transformers
Successfully installed MarkupSafe-3.0.3 Pillow-12.0.0 filelock-3.20.0 fsspec-2025.9.0 hf-xet-1.1.10 huggingface-hub-0.35.3 jinja2-3.1.6 mpmath-1.3.0 networkx-3.5 nvidia-cublas-cu12-12.8.4.1 nvidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.5 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvshmem-cu12-3.3.20 nvidia-nvtx-cu12-12.8.90 packaging-25.0 pyyaml-6.0.3 safetensors-0.6.2 scikit-learn-1.7.2 sentence-transformers-5.1.1 setuptools-80.9.0 sympy-1.14.0 threadpoolctl-3.6.0 tokenizers-0.22.1 torch-2.9.0 transformers-4.57.1 triton-3.5.0

[notice] A new release of pip is available: 25.0.1 -> 25.2
[notice] To update, run: pip install --upgrade pip

Thank y'all for your help

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#8 Today 13:48:05

seth
Member
From: Don't DM me only for attention
Registered: 2012-09-03
Posts: 69,058

Re: Fixing "Disk Quota Exceeded" with only the root filesystem

\o/
Please always remember to mark resolved threads by editing your initial posts subject - so others will know that there's no task left, but maybe a solution to find.
Thanks.

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