Setup Your Own Local Private GPT!

Introduction

Generative Pre-trained Transformer (GPT) is a type of deep learning model developed by OpenAI for natural language processing tasks. GPT models are designed to understand and generate human-like text based on the input they receive. These models are pre-trained on large amounts of text data from the internet, which enables them to generate coherent and contextually relevant responses to various prompts or questions.

The “Transformer” architecture, which GPT is based on, was introduced in a paper titled “Attention is All You Need” by Vaswani et al. in 2017. This architecture revolutionized natural language processing tasks by utilizing attention mechanisms to effectively capture relationships between words in a sentence.

Let’s break down a GPT’s technical components:

Transformer Architecture: The core of GPT is the Transformer architecture, which consists of multiple layers of self-attention mechanisms and feed-forward neural networks. Self-attention allows the model to weigh the importance of different words in a sequence when processing each word, capturing dependencies and relationships between them effectively. This architecture doesn’t require recurrent neural networks (RNNs) or convolutional layers, making it highly efficient for processing sequential data.
Pre-training: GPT models are pre-trained on vast text datasets using unsupervised learning techniques. During pre-training, the model learns to predict the next word in a sequence of text given the preceding context. This process enables the model to capture the statistical properties of natural language and develop a rich understanding of syntax, semantics, and context.
Generative: GPT is a generative model, capable of producing coherent and contextually relevant text given a prompt or input. Leveraging its pre-training, the model generates human-like text that resembles natural language, making it suitable for tasks like dialogue systems, text generation, and content creation.
Fine-tuning: Following pre-training, GPT models can be fine-tuned on specific downstream tasks using supervised learning. By adjusting model parameters, GPT can optimize performance on tasks such as text classification, sentiment analysis, or question answering. This adaptability enhances its versatility across various NLP applications.
Large Scale and Scalability: GPT models are trained on massive datasets containing billions of tokens sourced from the internet. This extensive training data enables the model to generalize effectively across diverse domains and capture nuanced language patterns. Moreover, GPT models come in various sizes, with larger versions containing more parameters to capture increasingly complex data patterns.
Transfer Learning: GPT exhibits strong transfer learning capabilities, allowing it to apply knowledge gained during pre-training to new tasks with minimal task-specific data. By fine-tuning its learned representations, GPT achieves state-of-the-art performance across a wide range of NLP tasks, demonstrating its versatility and effectiveness in practical applications.

In summary, GPT represents a significant advancement in NLP, empowering machines to comprehend and generate human-like text seamlessly. Its combination of Transformer architecture, pre-training, generative capability, fine-tuning, scalability, and transfer learning capabilities contributes to its effectiveness across diverse NLP tasks, marking a milestone in artificial intelligence research and development.

Privacy and Data Security Related Issues

There could be Privacy and data security related issues with GPT and similar NLP models, which stem from factors such as sensitivity of training data, potential data leakage, input data privacy concerns, secure model deployment, susceptibility to adversarial attacks, and reliance on third-party services.

Training Data Sensitivity: GPT models are trained on extensive datasets extracted from diverse sources, including publicly available text from the internet. These datasets might contain sensitive information such as personal details, medical records, financial data, or proprietary information. Inadequate handling of such data during model training could lead to inadvertent exposure or misuse of sensitive information.
Data Leakage: GPT’s generative nature means it could inadvertently memorize or reproduce sensitive information present in the training data when generating responses. If not properly controlled, this could result in the disclosure of confidential information during interactions with the model.
Input Data Privacy: Users interacting with GPT may input personal or sensitive information as prompts. If the system isn’t designed to handle this data securely, there’s a risk of unauthorized access or exposure of user-input data, especially if it’s logged or stored.
Model Deployment and Hosting: Deploying GPT models in production environments requires attention to data security and privacy practices. Organizations must ensure that data processed by the model, both input and output, is handled securely to prevent unauthorized access, tampering, or breaches.
Adversarial Attacks: GPT models are susceptible to adversarial attacks where carefully crafted inputs lead to unexpected or malicious behavior. These attacks could exploit vulnerabilities in the model to leak sensitive information, manipulate responses, or evade detection mechanisms.
Third-party Services: Organizations using third-party services to host or deploy GPT models must trust these providers to handle data responsibly. Failure to ensure adequate privacy and security measures by third-party providers could pose risks of data exposure or unauthorized access.

Addressing these issues requires employing measures like data anonymization and encryption, access controls, regular monitoring, compliance with regulations, user education, and ongoing research and development efforts to enhance privacy and security capabilities. To mitigate these risks one could setup a local/on-prem GPT.

Setting up a local instance of GPT

Setting up a local instance of GPT (Generative Pre-trained Transformer) or a similar NLP (Natural Language Processing) model offers several advantages:

Data Privacy and Security: By hosting GPT locally, organizations can ensure that sensitive data used for inference remains within their own infrastructure, reducing the risk of data breaches or unauthorized access. This is particularly important when dealing with proprietary or confidential information.
Customization and Control: Local deployment allows organizations to customize the model according to their specific requirements and preferences. They can fine-tune the model using proprietary data or adjust parameters to optimize performance for their use case.
Reduced Latency: Running GPT locally can significantly reduce inference latency compared to accessing a cloud-based API. This is especially beneficial for applications requiring real-time or low-latency responses, such as chatbots or interactive systems.
Cost Savings: While cloud-based services offer convenience and scalability, hosting GPT locally can be more cost-effective in the long run, especially for organizations with high inference workloads. By avoiding cloud service fees, organizations can potentially save on operational costs.
Offline Availability: Local deployment enables applications to function even when internet connectivity is limited or unavailable. This ensures uninterrupted access to NLP capabilities in environments where internet access is intermittent or restricted.
Compliance Requirements: Some industries or regulatory frameworks may impose restrictions on data handling or require data to be processed locally due to privacy, security, or compliance concerns. Hosting GPT locally can help organizations meet these requirements more easily.
Experimentation and Research: Researchers and developers can benefit from setting up local instances of GPT for experimentation, prototyping, and exploring novel applications. Local deployment provides greater flexibility and control for testing different configurations or algorithms.

Implementation

We could use PrivateGPT, a privacy-focused version of GPT. PrivateGPT stands as a fully functional AI solution enabling you to query documents leveraging Large Language Models (LLMs), even when offline, with complete privacy assurance—ensuring that your data remains within your execution environment at all times.

Leveraging GPU support within Windows Subsystem for Linux (WSL) can notably boost its performance. In this tutorial, I’ll guide you through the detailed steps of installing PrivateGPT on WSL, integrating GPU acceleration seamlessly.

Getting Started

Setting Up Windows Subsystem for Linux (WSL):

For running on Windows, install Ubuntu 22.04.3 LTS WSL from Microsoft App Store. Or Launch the Terminal and run the following command will will automatically install the latest version ->

Bash

wsl --install -d Ubuntu-22.04

Output

Updating Ubuntu

Bash

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential

Output

To run a command as administrator (user "root"), use "sudo <command>".
See "man sudo_root" for details.

threadwaiting@DLY530:~$ sudo apt-get update
[sudo] password for threadwaiting:
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Reading package lists... Done
threadwaiting@DLY530:~$ sudo apt-get upgrade
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
Calculating upgrade... Done
The following packages have been kept back:
  ubuntu-advantage-tools ubuntu-pro-client-l10n
The following packages will be upgraded:
  base-files bind9-dnsutils bind9-host bind9-libs binutils binutils-common binutils-x86-64-linux-gnu coreutils curl
  distro-info distro-info-data dpkg iptables irqbalance less libbinutils libc-bin libc6 libcryptsetup12 libctf-nobfd0
  libctf0 libcurl3-gnutls libcurl4 libexpat1 libgnutls30 libip4tc2 libip6tc2 libldap-2.5-0 libldap-common
  libnss-systemd libpam-modules libpam-modules-bin libpam-runtime libpam-systemd libpam0g libperl5.34 libpython3.10
  libpython3.10-minimal libpython3.10-stdlib libsqlite3-0 libssh-4 libssl3 libsystemd0 libudev1 libuv1 libxml2
  libxtables12 locales login motd-news-config openssh-client openssl passwd perl perl-base perl-modules-5.34
  python-apt-common python3-apt python3-cryptography python3-distro-info python3-distupgrade
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  systemd-hwe-hwdb systemd-sysv systemd-timesyncd tar tcpdump tzdata ubuntu-release-upgrader-core udev
  update-manager-core vim vim-common vim-runtime vim-tiny xxd
81 upgraded, 0 newly installed, 0 to remove and 2 not upgraded.
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After this operation, 56.3 kB of additional disk space will be used.
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/sbin/ldconfig.real: Can't link /usr/lib/wsl/lib/libnvoptix_loader.so.1 to libnvoptix.so.1
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Current default time zone: 'Asia/Kolkata'
Local time is now:      Sat Mar 16 16:47:50 IST 2024.
Universal Time is now:  Sat Mar 16 11:17:50 UTC 2024.
Run 'dpkg-reconfigure tzdata' if you wish to change it.

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/sbin/ldconfig.real: Can't link /usr/lib/wsl/lib/libnvoptix_loader.so.1 to libnvoptix.so.1
/sbin/ldconfig.real: /usr/lib/wsl/lib/libcuda.so.1 is not a symbolic link

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threadwaiting@DLY530:~$ sudo apt-get install build-essential
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following additional packages will be installed:
  bzip2 cpp cpp-11 dpkg-dev fakeroot fontconfig-config fonts-dejavu-core g++ g++-11 gcc gcc-11 gcc-11-base
  libalgorithm-diff-perl libalgorithm-diff-xs-perl libalgorithm-merge-perl libasan6 libatomic1 libc-dev-bin
  libc-devtools libc6-dev libcc1-0 libcrypt-dev libdeflate0 libdpkg-perl libfakeroot libfile-fcntllock-perl
  libfontconfig1 libfreetype6 libgcc-11-dev libgd3 libgomp1 libisl23 libitm1 libjbig0 libjpeg-turbo8 libjpeg8 liblsan0
  libmpc3 libnsl-dev libquadmath0 libstdc++-11-dev libtiff5 libtirpc-dev libtsan0 libubsan1 libwebp7 libxpm4
  linux-libc-dev lto-disabled-list make manpages-dev rpcsvc-proto
Suggested packages:
  bzip2-doc cpp-doc gcc-11-locales debian-keyring g++-multilib g++-11-multilib gcc-11-doc gcc-multilib autoconf
  automake libtool flex bison gdb gcc-doc gcc-11-multilib glibc-doc bzr libgd-tools libstdc++-11-doc make-doc
The following NEW packages will be installed:
  build-essential bzip2 cpp cpp-11 dpkg-dev fakeroot fontconfig-config fonts-dejavu-core g++ g++-11 gcc gcc-11
  gcc-11-base libalgorithm-diff-perl libalgorithm-diff-xs-perl libalgorithm-merge-perl libasan6 libatomic1
  libc-dev-bin libc-devtools libc6-dev libcc1-0 libcrypt-dev libdeflate0 libdpkg-perl libfakeroot
  libfile-fcntllock-perl libfontconfig1 libfreetype6 libgcc-11-dev libgd3 libgomp1 libisl23 libitm1 libjbig0
  libjpeg-turbo8 libjpeg8 liblsan0 libmpc3 libnsl-dev libquadmath0 libstdc++-11-dev libtiff5 libtirpc-dev libtsan0
  libubsan1 libwebp7 libxpm4 linux-libc-dev lto-disabled-list make manpages-dev rpcsvc-proto
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Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcrypt-dev amd64 1:4.4.27-1 [112 kB]
Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 rpcsvc-proto amd64 1.4.2-0ubuntu6 [68.5 kB]
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Get:52 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfile-fcntllock-perl amd64 0.22-3build7 [33.9 kB]
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/sbin/ldconfig.real: Can't link /usr/lib/wsl/lib/libnvoptix_loader.so.1 to libnvoptix.so.1
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threadwaiting@DLY530:~$

Cloning the PrivateGPT repository from Git

Bash

git clone https://github.com/imartinez/privateGPT

Output

threadwaiting@DLY530:~$ git clone https://github.com/imartinez/privateGPT
Cloning into 'privateGPT'...
remote: Enumerating objects: 1875, done.
remote: Counting objects: 100% (382/382), done.
remote: Compressing objects: 100% (227/227), done.
remote: Total 1875 (delta 228), reused 240 (delta 146), pack-reused 1493
Receiving objects: 100% (1875/1875), 1.82 MiB | 2.34 MiB/s, done.
Resolving deltas: 100% (1053/1053), done.
threadwaiting@DLY530:~$

Setting Up Python Environment

Bash

sudo apt-get install git gcc make openssl libssl-dev libbz2-dev libreadline-dev libsqlite3-dev zlib1g-dev libncursesw5-dev libgdbm-dev libc6-dev zlib1g-dev libsqlite3-dev tk-dev libssl-dev openssl libffi-dev
curl https://pyenv.run | bash
export PATH="/home/$(whoami)/.pyenv/bin:$PATH"

Output

threadwaiting@DLY530:~$ sudo apt-get install git gcc make openssl libssl-dev libbz2-dev libreadline-dev libsqlite3-dev zlib1g-dev libncursesw5-dev libgdbm-dev libc6-dev zlib1g-dev libsqlite3-dev tk-dev libssl-dev openssl libffi-dev
curl https://pyenv.run | bash
export PATH="/home/$(whoami)/.pyenv/bin:$PATH"
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
gcc is already the newest version (4:11.2.0-1ubuntu1).
gcc set to manually installed.
make is already the newest version (4.3-4.1build1).
make set to manually installed.
git is already the newest version (1:2.34.1-1ubuntu1.10).
git set to manually installed.
libc6-dev is already the newest version (2.35-0ubuntu3.6).
libc6-dev set to manually installed.
openssl is already the newest version (3.0.2-0ubuntu1.15).
openssl set to manually installed.
The following additional packages will be installed:
  bzip2-doc libbrotli-dev libdrm-amdgpu1 libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libexpat1-dev libfontconfig-dev
  libfontconfig1-dev libfontenc1 libfreetype-dev libfreetype6-dev libgl1 libgl1-amber-dri libgl1-mesa-dri
  libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libice6 libllvm15 libncurses-dev libpciaccess0 libpng-dev libpng-tools
  libpthread-stubs0-dev libsensors-config libsensors5 libsm6 libtcl8.6 libtk8.6 libx11-dev libx11-xcb1 libxau-dev
  libxaw7 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0 libxcb-shape0 libxcb-shm0 libxcb-sync1
  libxcb-xfixes0 libxcb1-dev libxcomposite1 libxdmcp-dev libxext-dev libxfixes3 libxft-dev libxft2 libxi6 libxinerama1
  libxkbfile1 libxmu6 libxrandr2 libxrender-dev libxrender1 libxshmfence1 libxss-dev libxss1 libxt6 libxtst6 libxv1
  libxxf86dga1 libxxf86vm1 pkg-config tcl tcl-dev tcl8.6 tcl8.6-dev tk tk8.6 tk8.6-dev uuid-dev x11-common x11-utils
  x11proto-core-dev x11proto-dev xbitmaps xorg-sgml-doctools xterm xtrans-dev
Suggested packages:
  freetype2-doc ncurses-doc readline-doc lm-sensors sqlite3-doc libssl-doc libx11-doc libxcb-doc libxext-doc tcl-doc
  tcl-tclreadline tcl8.6-doc tk-doc tk8.6-doc mesa-utils xfonts-cyrillic
The following NEW packages will be installed:
  bzip2-doc libbrotli-dev libbz2-dev libdrm-amdgpu1 libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libexpat1-dev
  libffi-dev libfontconfig-dev libfontconfig1-dev libfontenc1 libfreetype-dev libfreetype6-dev libgdbm-dev libgl1
  libgl1-amber-dri libgl1-mesa-dri libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libice6 libllvm15 libncurses-dev
  libncursesw5-dev libpciaccess0 libpng-dev libpng-tools libpthread-stubs0-dev libreadline-dev libsensors-config
  libsensors5 libsm6 libsqlite3-dev libssl-dev libtcl8.6 libtk8.6 libx11-dev libx11-xcb1 libxau-dev libxaw7
  libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0 libxcb-shape0 libxcb-shm0 libxcb-sync1
  libxcb-xfixes0 libxcb1-dev libxcomposite1 libxdmcp-dev libxext-dev libxfixes3 libxft-dev libxft2 libxi6 libxinerama1
  libxkbfile1 libxmu6 libxrandr2 libxrender-dev libxrender1 libxshmfence1 libxss-dev libxss1 libxt6 libxtst6 libxv1
  libxxf86dga1 libxxf86vm1 pkg-config tcl tcl-dev tcl8.6 tcl8.6-dev tk tk-dev tk8.6 tk8.6-dev uuid-dev x11-common
  x11-utils x11proto-core-dev x11proto-dev xbitmaps xorg-sgml-doctools xterm xtrans-dev zlib1g-dev
0 upgraded, 92 newly installed, 0 to remove and 2 not upgraded.
Need to get 52.5 MB of archives.
After this operation, 223 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 bzip2-doc all 1.0.8-5build1 [500 kB]
Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libbrotli-dev amd64 1.0.9-2build6 [337 kB]
Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libbz2-dev amd64 1.0.8-5build1 [32.5 kB]
Get:4 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-amdgpu1 amd64 2.4.113-2~ubuntu0.22.04.1 [19.9 kB]
Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpciaccess0 amd64 0.16-3 [19.1 kB]
Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-intel1 amd64 2.4.113-2~ubuntu0.22.04.1 [66.7 kB]
Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-nouveau2 amd64 2.4.113-2~ubuntu0.22.04.1 [17.5 kB]
Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-radeon1 amd64 2.4.113-2~ubuntu0.22.04.1 [21.6 kB]
Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libexpat1-dev amd64 2.4.7-1ubuntu0.3 [147 kB]
Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2ubuntu9.2 [164 kB]
Get:11 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpng-dev amd64 1.6.37-3build5 [192 kB]
Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libfreetype-dev amd64 2.11.1+dfsg-1ubuntu0.2 [555 kB]
Get:13 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libfreetype6-dev amd64 2.11.1+dfsg-1ubuntu0.2 [8290 B]
Get:14 http://archive.ubuntu.com/ubuntu jammy/main amd64 uuid-dev amd64 2.37.2-4ubuntu3 [33.1 kB]
Get:15 http://archive.ubuntu.com/ubuntu jammy/main amd64 pkg-config amd64 0.29.2-1ubuntu3 [48.2 kB]
Get:16 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfontconfig-dev amd64 2.13.1-4.2ubuntu5 [151 kB]
Get:17 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfontconfig1-dev amd64 2.13.1-4.2ubuntu5 [1836 B]
Get:18 http://archive.ubuntu.com/ubuntu jammy/main amd64 libfontenc1 amd64 1:1.1.4-1build3 [14.7 kB]
Get:19 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgdbm-dev amd64 1.23-1 [117 kB]
Get:20 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libglapi-mesa amd64 23.2.1-1ubuntu3.1~22.04.2 [37.1 kB]
Get:21 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgl1-amber-dri amd64 21.3.9-0ubuntu1~22.04.1 [4218 kB]
Get:22 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libllvm15 amd64 1:15.0.7-0ubuntu0.22.04.3 [25.4 MB]
Get:23 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsensors-config all 1:3.6.0-7ubuntu1 [5274 B]
Get:24 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsensors5 amd64 1:3.6.0-7ubuntu1 [26.3 kB]
Get:25 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-dri3-0 amd64 1.14-3ubuntu3 [6968 B]
Get:26 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgl1-mesa-dri amd64 23.2.1-1ubuntu3.1~22.04.2 [8860 kB]
Get:27 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx11-xcb1 amd64 2:1.7.5-1ubuntu0.3 [7802 B]
Get:28 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-dri2-0 amd64 1.14-3ubuntu3 [7206 B]
Get:29 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-glx0 amd64 1.14-3ubuntu3 [25.9 kB]
Get:30 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-present0 amd64 1.14-3ubuntu3 [5734 B]
Get:31 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-randr0 amd64 1.14-3ubuntu3 [18.3 kB]
Get:32 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-shm0 amd64 1.14-3ubuntu3 [5780 B]
Get:33 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-sync1 amd64 1.14-3ubuntu3 [9416 B]
Get:34 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xfixes0 amd64 1.14-3ubuntu3 [9996 B]
Get:35 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxfixes3 amd64 1:6.0.0-1 [11.7 kB]
Get:36 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxshmfence1 amd64 1.3-1build4 [5394 B]
Get:37 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxxf86vm1 amd64 1:1.1.4-1build3 [10.4 kB]
Get:38 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libglx-mesa0 amd64 23.2.1-1ubuntu3.1~22.04.2 [158 kB]
Get:39 http://archive.ubuntu.com/ubuntu jammy/main amd64 x11-common all 1:7.7+23ubuntu2 [23.4 kB]
Get:40 http://archive.ubuntu.com/ubuntu jammy/main amd64 libice6 amd64 2:1.0.10-1build2 [42.6 kB]
Get:41 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libncurses-dev amd64 6.3-2ubuntu0.1 [381 kB]
Get:42 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libncursesw5-dev amd64 6.3-2ubuntu0.1 [790 B]
Get:43 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpng-tools amd64 1.6.37-3build5 [28.7 kB]
Get:44 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpthread-stubs0-dev amd64 0.4-1build2 [5516 B]
Get:45 http://archive.ubuntu.com/ubuntu jammy/main amd64 libreadline-dev amd64 8.1.2-1 [166 kB]
Get:46 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsm6 amd64 2:1.2.3-1build2 [16.7 kB]
Get:47 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libsqlite3-dev amd64 3.37.2-2ubuntu0.3 [846 kB]
Get:48 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libssl-dev amd64 3.0.2-0ubuntu1.15 [2376 kB]
Get:49 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtcl8.6 amd64 8.6.12+dfsg-1build1 [990 kB]
Get:50 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxrender1 amd64 1:0.9.10-1build4 [19.7 kB]
Get:51 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxft2 amd64 2.3.4-1 [41.8 kB]
Get:52 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxss1 amd64 1:1.2.3-1build2 [8476 B]
Get:53 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtk8.6 amd64 8.6.12-1build1 [784 kB]
Get:54 http://archive.ubuntu.com/ubuntu jammy/main amd64 xorg-sgml-doctools all 1:1.11-1.1 [10.9 kB]
Get:55 http://archive.ubuntu.com/ubuntu jammy/main amd64 x11proto-dev all 2021.5-1 [604 kB]
Get:56 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxau-dev amd64 1:1.0.9-1build5 [9724 B]
Get:57 http://archive.ubuntu.com/ubuntu jammy/main amd64 x11proto-core-dev all 2021.5-1 [2438 B]
Get:58 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxdmcp-dev amd64 1:1.1.3-0ubuntu5 [26.5 kB]
Get:59 http://archive.ubuntu.com/ubuntu jammy/main amd64 xtrans-dev all 1.4.0-1 [68.9 kB]
Get:60 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb1-dev amd64 1.14-3ubuntu3 [86.5 kB]
Get:61 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx11-dev amd64 2:1.7.5-1ubuntu0.3 [744 kB]
Get:62 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxt6 amd64 1:1.2.1-1 [177 kB]
Get:63 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxmu6 amd64 2:1.1.3-3 [49.6 kB]
Get:64 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxaw7 amd64 2:1.0.14-1 [191 kB]
Get:65 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-shape0 amd64 1.14-3ubuntu3 [6158 B]
Get:66 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcomposite1 amd64 1:0.4.5-1build2 [7192 B]
Get:67 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxext-dev amd64 2:1.3.4-1build1 [84.7 kB]
Get:68 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxrender-dev amd64 1:0.9.10-1build4 [26.7 kB]
Get:69 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxft-dev amd64 2.3.4-1 [52.4 kB]
Get:70 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxi6 amd64 2:1.8-1build1 [32.6 kB]
Get:71 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxinerama1 amd64 2:1.1.4-3 [7382 B]
Get:72 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxkbfile1 amd64 1:1.1.0-1build3 [71.8 kB]
Get:73 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxrandr2 amd64 2:1.5.2-1build1 [20.4 kB]
Get:74 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxss-dev amd64 1:1.2.3-1build2 [12.3 kB]
Get:75 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxtst6 amd64 2:1.2.3-1build4 [13.4 kB]
Get:76 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxv1 amd64 2:1.0.11-1build2 [11.2 kB]
Get:77 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxxf86dga1 amd64 2:1.1.5-0ubuntu3 [12.6 kB]
Get:78 http://archive.ubuntu.com/ubuntu jammy/main amd64 tcl8.6 amd64 8.6.12+dfsg-1build1 [15.0 kB]
Get:79 http://archive.ubuntu.com/ubuntu jammy/main amd64 tcl amd64 8.6.11+1build2 [4678 B]
Get:80 http://archive.ubuntu.com/ubuntu jammy/main amd64 tcl8.6-dev amd64 8.6.12+dfsg-1build1 [1002 kB]
Get:81 http://archive.ubuntu.com/ubuntu jammy/main amd64 tcl-dev amd64 8.6.11+1build2 [5768 B]
Get:82 http://archive.ubuntu.com/ubuntu jammy/main amd64 tk8.6 amd64 8.6.12-1build1 [12.8 kB]
Get:83 http://archive.ubuntu.com/ubuntu jammy/main amd64 tk amd64 8.6.11+1build2 [3058 B]
Get:84 http://archive.ubuntu.com/ubuntu jammy/main amd64 tk8.6-dev amd64 8.6.12-1build1 [785 kB]
Get:85 http://archive.ubuntu.com/ubuntu jammy/main amd64 tk-dev amd64 8.6.11+1build2 [2904 B]
Get:86 http://archive.ubuntu.com/ubuntu jammy/main amd64 libglvnd0 amd64 1.4.0-1 [73.6 kB]
Get:87 http://archive.ubuntu.com/ubuntu jammy/main amd64 libglx0 amd64 1.4.0-1 [41.0 kB]
Get:88 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgl1 amd64 1.4.0-1 [110 kB]
Get:89 http://archive.ubuntu.com/ubuntu jammy/main amd64 x11-utils amd64 7.7+5build2 [206 kB]
Get:90 http://archive.ubuntu.com/ubuntu jammy/main amd64 xbitmaps all 1.1.1-2.1ubuntu1 [23.4 kB]
Get:91 http://archive.ubuntu.com/ubuntu jammy/universe amd64 xterm amd64 372-1ubuntu1 [857 kB]
Get:92 http://archive.ubuntu.com/ubuntu jammy/main amd64 libffi-dev amd64 3.4.2-4 [63.7 kB]
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invoke-rc.d: could not determine current runlevel
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Setting up xterm (372-1ubuntu1) ...
update-alternatives: using /usr/bin/xterm to provide /usr/bin/x-terminal-emulator (x-terminal-emulator) in auto mode
update-alternatives: using /usr/bin/lxterm to provide /usr/bin/x-terminal-emulator (x-terminal-emulator) in auto mode
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Processing triggers for libc-bin (2.35-0ubuntu3.6) ...
/sbin/ldconfig.real: Can't link /usr/lib/wsl/lib/libnvoptix_loader.so.1 to libnvoptix.so.1
/sbin/ldconfig.real: /usr/lib/wsl/lib/libcuda.so.1 is not a symbolic link

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WARNING: seems you still have not added 'pyenv' to the load path.

# Load pyenv automatically by appending
# the following to
# ~/.bash_profile if it exists, otherwise ~/.profile (for login shells)
# and ~/.bashrc (for interactive shells) :

export PYENV_ROOT="$HOME/.pyenv"
[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"

# Restart your shell for the changes to take effect.

# Load pyenv-virtualenv automatically by adding
# the following to ~/.bashrc:

eval "$(pyenv virtualenv-init -)"

threadwaiting@DLY530:~$

Add the following lines to your .bashrc file using nano ~/.bashrc:

threadwaiting@DLY530:~$ nano ~/.bashrc

Bash

export PYENV_ROOT="$HOME/.pyenv"
[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"

Updated .bashrc

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac

# don't put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth

# append to the history file, don't overwrite it
shopt -s histappend

# for setting history length see HISTSIZE and HISTFILESIZE in bash(1)
HISTSIZE=1000
HISTFILESIZE=2000

# check the window size after each command and, if necessary,
# update the values of LINES and COLUMNS.
shopt -s checkwinsize

# If set, the pattern "**" used in a pathname expansion context will
# match all files and zero or more directories and subdirectories.
#shopt -s globstar

# make less more friendly for non-text input files, see lesspipe(1)
[ -x /usr/bin/lesspipe ] && eval "$(SHELL=/bin/sh lesspipe)"

# set variable identifying the chroot you work in (used in the prompt below)
if [ -z "${debian_chroot:-}" ] && [ -r /etc/debian_chroot ]; then
    debian_chroot=$(cat /etc/debian_chroot)
fi

# set a fancy prompt (non-color, unless we know we "want" color)
case "$TERM" in
    xterm-color|*-256color) color_prompt=yes;;
esac

# uncomment for a colored prompt, if the terminal has the capability; turned
# off by default to not distract the user: the focus in a terminal window
# should be on the output of commands, not on the prompt
#force_color_prompt=yes

if [ -n "$force_color_prompt" ]; then
    if [ -x /usr/bin/tput ] && tput setaf 1 >&/dev/null; then
        # We have color support; assume it's compliant with Ecma-48
        # (ISO/IEC-6429). (Lack of such support is extremely rare, and such
        # a case would tend to support setf rather than setaf.)
        color_prompt=yes
    else
        color_prompt=
    fi
fi

if [ "$color_prompt" = yes ]; then
    PS1='${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[00m\]\$ '
else
    PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ '
fi
unset color_prompt force_color_prompt

# If this is an xterm set the title to user@host:dir
case "$TERM" in
xterm*|rxvt*)
    PS1="\[\e]0;${debian_chroot:+($debian_chroot)}\u@\h: \w\a\]$PS1"
    ;;
*)
    ;;
esac

# enable color support of ls and also add handy aliases
if [ -x /usr/bin/dircolors ]; then
    test -r ~/.dircolors && eval "$(dircolors -b ~/.dircolors)" || eval "$(dircolors -b)"
    alias ls='ls --color=auto'
    #alias dir='dir --color=auto'
    #alias vdir='vdir --color=auto'

    alias grep='grep --color=auto'
    alias fgrep='fgrep --color=auto'
    alias egrep='egrep --color=auto'
fi

# colored GCC warnings and errors
#export GCC_COLORS='error=01;31:warning=01;35:note=01;36:caret=01;32:locus=01:quote=01'

# some more ls aliases
alias ll='ls -alF'
alias la='ls -A'
alias l='ls -CF'

# Add an "alert" alias for long running commands.  Use like so:
#   sleep 10; alert
alias alert='notify-send --urgency=low -i "$([ $? = 0 ] && echo terminal || echo error)" "$(history|tail -n1|sed -e '\''s/^\s*[0-9]\+\s*//;s/[;&|]\s*alert$//'\'')"'

# Alias definitions.
# You may want to put all your additions into a separate file like
# ~/.bash_aliases, instead of adding them here directly.
# See /usr/share/doc/bash-doc/examples in the bash-doc package.

if [ -f ~/.bash_aliases ]; then
    . ~/.bash_aliases
fi

# enable programmable completion features (you don't need to enable
# this, if it's already enabled in /etc/bash.bashrc and /etc/profile
# sources /etc/bash.bashrc).
if ! shopt -oq posix; then
  if [ -f /usr/share/bash-completion/bash_completion ]; then
    . /usr/share/bash-completion/bash_completion
  elif [ -f /etc/bash_completion ]; then
    . /etc/bash_completion
  fi
fi

export PYENV_ROOT="$HOME/.pyenv"
[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"

Reload your terminal

threadwaiting@DLY530:~$ source .bashrc
threadwaiting@DLY530:~$

Install important missing pyenv stuff

Bash

sudo apt-get install lzma
sudo apt-get install liblzma-dev

Output

threadwaiting@DLY530:~$ sudo apt-get install lzma
sudo apt-get install liblzma-dev
[sudo] password for threadwaiting:
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following NEW packages will be installed:
  lzma
0 upgraded, 1 newly installed, 0 to remove and 2 not upgraded.
Need to get 47.3 kB of archives.
After this operation, 154 kB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 lzma amd64 9.22-2.2 [47.3 kB]
Fetched 47.3 kB in 1s (63.5 kB/s)
Selecting previously unselected package lzma.
(Reading database ... 31898 files and directories currently installed.)
Preparing to unpack .../lzma_9.22-2.2_amd64.deb ...
Unpacking lzma (9.22-2.2) ...
Setting up lzma (9.22-2.2) ...
update-alternatives: using /usr/bin/lzmp to provide /usr/bin/lzma (lzma) in auto mode
Processing triggers for man-db (2.10.2-1) ...
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
Suggested packages:
  liblzma-doc
The following NEW packages will be installed:
  liblzma-dev
0 upgraded, 1 newly installed, 0 to remove and 2 not upgraded.
Need to get 159 kB of archives.
After this operation, 628 kB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblzma-dev amd64 5.2.5-2ubuntu1 [159 kB]
Fetched 159 kB in 2s (67.0 kB/s)
Selecting previously unselected package liblzma-dev:amd64.
(Reading database ... 31905 files and directories currently installed.)
Preparing to unpack .../liblzma-dev_5.2.5-2ubuntu1_amd64.deb ...
Unpacking liblzma-dev:amd64 (5.2.5-2ubuntu1) ...
Setting up liblzma-dev:amd64 (5.2.5-2ubuntu1) ...
threadwaiting@DLY530:~$

Install Python 3.11 and set it as the global version:

Bash

pyenv install 3.11
pyenv global 3.11
pip install pip --upgrade
pyenv local 3.11

Output

threadwaiting@DLY530:~$ pyenv install 3.11
pyenv global 3.11
pip install pip --upgrade
pyenv local 3.11
Downloading Python-3.11.8.tar.xz...
-> https://www.python.org/ftp/python/3.11.8/Python-3.11.8.tar.xz
Installing Python-3.11.8...
Installed Python-3.11.8 to /home/threadwaiting/.pyenv/versions/3.11.8
Requirement already satisfied: pip in ./.pyenv/versions/3.11.8/lib/python3.11/site-packages (24.0)
threadwaiting@DLY530:~$

Poetry Installation

Install poetry to manage dependencies:

Bash

curl -sSL https://install.python-poetry.org | python3 -

Output

threadwaiting@DLY530:~$ curl -sSL https://install.python-poetry.org | python3 -
Retrieving Poetry metadata

# Welcome to Poetry!

This will download and install the latest version of Poetry,
a dependency and package manager for Python.

It will add the `poetry` command to Poetry's bin directory, located at:

/home/threadwaiting/.local/bin

You can uninstall at any time by executing this script with the --uninstall option,
and these changes will be reverted.

Installing Poetry (1.8.2): Done

Poetry (1.8.2) is installed now. Great!

To get started you need Poetry's bin directory (/home/threadwaiting/.local/bin) in your `PATH`
environment variable.

Add `export PATH="/home/threadwaiting/.local/bin:$PATH"` to your shell configuration file.

Alternatively, you can call Poetry explicitly with `/home/threadwaiting/.local/bin/poetry`.

You can test that everything is set up by executing:

`poetry --version`

threadwaiting@DLY530:~$

Add the following line to your .bashrc:

Bash

export PATH="/home/<YOU USERNAME>/.local/bin:$PATH"

Replace by your WSL username ($ whoami)

Reload your configuration

Bash

source .bashrc
poetry --version

Output

threadwaiting@DLY530:~$ source .bashrc
threadwaiting@DLY530:~$ poetry --version
Poetry (version 1.8.2)
threadwaiting@DLY530:~$

Installing PrivateGPT Dependencies

Navigate to the PrivateGPT directory and install dependencies:

Bash

cd privateGPT
 poetry install --extras "ui vector-stores-qdrant llms-llama-cpp embeddings-huggingface"

Output

threadwaiting@DLY530:~/privateGPT$  poetry install --extras "ui vector-stores-qdrant llms-llama-cpp embeddings-huggingface"
Installing dependencies from lock file

Package operations: 26 installs, 0 updates, 0 removals

  - Installing protobuf (4.25.1)
  - Installing mpmath (1.3.0)
  - Installing nvidia-nvjitlink-cu12 (12.3.101)
  - Installing portalocker (2.8.2)
  - Installing grpcio (1.60.0)
  - Installing nvidia-cublas-cu12 (12.1.3.1): Downloading... 60%
  - Installing nvidia-cusparse-cu12 (12.1.0.106): Installing...
  - Installing nvidia-cublas-cu12 (12.1.3.1): Installing...
  - Installing nvidia-cusparse-cu12 (12.1.0.106)
  - Installing nvidia-cublas-cu12 (12.1.3.1)
  - Installing nvidia-cusparse-cu12 (12.1.0.106)
  - Installing sympy (1.12)
  - Installing diskcache (5.6.3)
  - Installing grpcio-tools (1.60.0): Downloading... 30%
  - Installing nvidia-cuda-cupti-cu12 (12.1.105): Downloading... 10%
  - Installing grpcio-tools (1.60.0): Downloading... 60%
  - Installing nvidia-cuda-cupti-cu12 (12.1.105): Downloading... 20%
  - Installing grpcio-tools (1.60.0)
  - Installing nvidia-cuda-cupti-cu12 (12.1.105): Installing...
  - Installing nvidia-cuda-nvrtc-cu12 (12.1.105): Downloading... 70%
  - Installing nvidia-cuda-cupti-cu12 (12.1.105)
  - Installing nvidia-cuda-nvrtc-cu12 (12.1.105): Installing...
  - Installing nvidia-cuda-runtime-cu12 (12.1.105)
  - Installing nvidia-cuda-nvrtc-cu12 (12.1.105)
  - Installing nvidia-cuda-runtime-cu12 (12.1.105)
  - Installing nvidia-cudnn-cu12 (8.9.2.26): Downloading... 12%
  - Installing nvidia-cufft-cu12 (11.0.2.54): Downloading... 64%
  - Installing nvidia-cudnn-cu12 (8.9.2.26): Downloading... 18%
  - Installing nvidia-cufft-cu12 (11.0.2.54): Installing...
  - Installing nvidia-cudnn-cu12 (8.9.2.26): Downloading... 20%
  - Installing nvidia-cufft-cu12 (11.0.2.54): Installing...
  - Installing nvidia-cudnn-cu12 (8.9.2.26): Downloading... 49%
  - Installing nvidia-cufft-cu12 (11.0.2.54)
  - Installing nvidia-cudnn-cu12 (8.9.2.26): Installing...
  - Installing nvidia-cufft-cu12 (11.0.2.54)
  - Installing nvidia-cudnn-cu12 (8.9.2.26)
  - Installing nvidia-cufft-cu12 (11.0.2.54)
  - Installing nvidia-curand-cu12 (10.3.2.106)
  - Installing nvidia-cusolver-cu12 (11.4.5.107)
  - Installing nvidia-nccl-cu12 (2.18.1)
  - Installing nvidia-nvtx-cu12 (12.1.105)
  - Installing triton (2.1.0)
  - Installing llama-cpp-python (0.2.53)
  - Installing qdrant-client (1.7.3)
  - Installing torch (2.1.2)
  - Installing llama-index-embeddings-huggingface (0.1.4)
  - Installing llama-index-llms-llama-cpp (0.1.3)
  - Installing llama-index-vector-stores-qdrant (0.1.3)

Installing the current project: private-gpt (0.4.0)
threadwaiting@DLY530:~/privateGPT$

Nvidia Drivers Installation

Visit Nvidia’s official website to download and install the Nvidia drivers for WSL. Choose Linux> x86_64 > WSL-Ubuntu > 2.0 > deb (network)

Follow the instructions provided on the page. Or use to install cuda-12.4->

Bash

wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda-toolkit-12-4

Output

threadwaiting@DLY530:~/privateGPT$ wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb
--2024-03-16 17:29:46--  https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.1-1_all.deb
Resolving developer.download.nvidia.com (developer.download.nvidia.com)... 152.199.39.144
Connecting to developer.download.nvidia.com (developer.download.nvidia.com)|152.199.39.144|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 4328 (4.2K) [application/x-deb]
Saving to: ‘cuda-keyring_1.1-1_all.deb’

cuda-keyring_1.1-1_all.deb    100%[=================================================>]   4.23K  --.-KB/s    in 0s

2024-03-16 17:29:47 (375 MB/s) - ‘cuda-keyring_1.1-1_all.deb’ saved [4328/4328]

threadwaiting@DLY530:~/privateGPT$ sudo dpkg -i cuda-keyring_1.1-1_all.deb
[sudo] password for threadwaiting:
Selecting previously unselected package cuda-keyring.
(Reading database ... 31945 files and directories currently installed.)
Preparing to unpack cuda-keyring_1.1-1_all.deb ...
Unpacking cuda-keyring (1.1-1) ...
Setting up cuda-keyring (1.1-1) ...
threadwaiting@DLY530:~/privateGPT$ sudo apt-get update
Get:1 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  InRelease [1581 B]
Get:2 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  Packages [417 kB]
Get:3 http://security.ubuntu.com/ubuntu jammy-security InRelease [110 kB]
Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease
Get:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [119 kB]
Hit:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease
Fetched 648 kB in 7s (89.6 kB/s)
Reading package lists... Done
threadwaiting@DLY530:~/privateGPT$ sudo apt-get -y install cuda-toolkit-12-4
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following additional packages will be installed:
  alsa-topology-conf alsa-ucm-conf at-spi2-core ca-certificates-java cuda-cccl-12-4 cuda-command-line-tools-12-4
  cuda-compiler-12-4 cuda-crt-12-4 cuda-cudart-12-4 cuda-cudart-dev-12-4 cuda-cuobjdump-12-4 cuda-cupti-12-4
  cuda-cupti-dev-12-4 cuda-cuxxfilt-12-4 cuda-documentation-12-4 cuda-driver-dev-12-4 cuda-gdb-12-4
  cuda-libraries-12-4 cuda-libraries-dev-12-4 cuda-nsight-12-4 cuda-nsight-compute-12-4 cuda-nsight-systems-12-4
  cuda-nvcc-12-4 cuda-nvdisasm-12-4 cuda-nvml-dev-12-4 cuda-nvprof-12-4 cuda-nvprune-12-4 cuda-nvrtc-12-4
  cuda-nvrtc-dev-12-4 cuda-nvtx-12-4 cuda-nvvm-12-4 cuda-nvvp-12-4 cuda-opencl-12-4 cuda-opencl-dev-12-4
  cuda-profiler-api-12-4 cuda-sanitizer-12-4 cuda-toolkit-12-4-config-common cuda-toolkit-12-config-common
  cuda-toolkit-config-common cuda-tools-12-4 cuda-visual-tools-12-4 dconf-gsettings-backend dconf-service default-jre
  default-jre-headless fonts-dejavu-extra gds-tools-12-4 gsettings-desktop-schemas java-common libasound2
  libasound2-data libatk-bridge2.0-0 libatk-wrapper-java libatk-wrapper-java-jni libatk1.0-0 libatk1.0-data
  libatspi2.0-0 libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcublas-12-4 libcublas-dev-12-4
  libcufft-12-4 libcufft-dev-12-4 libcufile-12-4 libcufile-dev-12-4 libcups2 libcurand-12-4 libcurand-dev-12-4
  libcusolver-12-4 libcusolver-dev-12-4 libcusparse-12-4 libcusparse-dev-12-4 libdconf1 libegl-mesa0 libegl1 libgbm1
  libgif7 libgraphite2-3 libharfbuzz0b liblcms2-2 libnpp-12-4 libnpp-dev-12-4 libnspr4 libnss3 libnvfatbin-12-4
  libnvfatbin-dev-12-4 libnvjitlink-12-4 libnvjitlink-dev-12-4 libnvjpeg-12-4 libnvjpeg-dev-12-4 libopengl0
  libpcsclite1 libpixman-1-0 libtinfo5 libwayland-client0 libwayland-server0 libxcb-icccm4 libxcb-image0
  libxcb-keysyms1 libxcb-render-util0 libxcb-render0 libxcb-util1 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1
  libxdamage1 libxkbcommon-x11-0 libxkbcommon0 nsight-compute-2024.1.0 nsight-systems-2023.4.4 openjdk-11-jre
  openjdk-11-jre-headless session-migration
Suggested packages:
  libasound2-plugins alsa-utils cups-common liblcms2-utils pcscd libnss-mdns fonts-ipafont-gothic fonts-ipafont-mincho
  fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic
The following NEW packages will be installed:
  alsa-topology-conf alsa-ucm-conf at-spi2-core ca-certificates-java cuda-cccl-12-4 cuda-command-line-tools-12-4
  cuda-compiler-12-4 cuda-crt-12-4 cuda-cudart-12-4 cuda-cudart-dev-12-4 cuda-cuobjdump-12-4 cuda-cupti-12-4
  cuda-cupti-dev-12-4 cuda-cuxxfilt-12-4 cuda-documentation-12-4 cuda-driver-dev-12-4 cuda-gdb-12-4
  cuda-libraries-12-4 cuda-libraries-dev-12-4 cuda-nsight-12-4 cuda-nsight-compute-12-4 cuda-nsight-systems-12-4
  cuda-nvcc-12-4 cuda-nvdisasm-12-4 cuda-nvml-dev-12-4 cuda-nvprof-12-4 cuda-nvprune-12-4 cuda-nvrtc-12-4
  cuda-nvrtc-dev-12-4 cuda-nvtx-12-4 cuda-nvvm-12-4 cuda-nvvp-12-4 cuda-opencl-12-4 cuda-opencl-dev-12-4
  cuda-profiler-api-12-4 cuda-sanitizer-12-4 cuda-toolkit-12-4 cuda-toolkit-12-4-config-common
  cuda-toolkit-12-config-common cuda-toolkit-config-common cuda-tools-12-4 cuda-visual-tools-12-4
  dconf-gsettings-backend dconf-service default-jre default-jre-headless fonts-dejavu-extra gds-tools-12-4
  gsettings-desktop-schemas java-common libasound2 libasound2-data libatk-bridge2.0-0 libatk-wrapper-java
  libatk-wrapper-java-jni libatk1.0-0 libatk1.0-data libatspi2.0-0 libavahi-client3 libavahi-common-data
  libavahi-common3 libcairo2 libcublas-12-4 libcublas-dev-12-4 libcufft-12-4 libcufft-dev-12-4 libcufile-12-4
  libcufile-dev-12-4 libcups2 libcurand-12-4 libcurand-dev-12-4 libcusolver-12-4 libcusolver-dev-12-4 libcusparse-12-4
  libcusparse-dev-12-4 libdconf1 libegl-mesa0 libegl1 libgbm1 libgif7 libgraphite2-3 libharfbuzz0b liblcms2-2
  libnpp-12-4 libnpp-dev-12-4 libnspr4 libnss3 libnvfatbin-12-4 libnvfatbin-dev-12-4 libnvjitlink-12-4
  libnvjitlink-dev-12-4 libnvjpeg-12-4 libnvjpeg-dev-12-4 libopengl0 libpcsclite1 libpixman-1-0 libtinfo5
  libwayland-client0 libwayland-server0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-render-util0 libxcb-render0
  libxcb-util1 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxdamage1 libxkbcommon-x11-0 libxkbcommon0
  nsight-compute-2024.1.0 nsight-systems-2023.4.4 openjdk-11-jre openjdk-11-jre-headless session-migration
0 upgraded, 116 newly installed, 0 to remove and 2 not upgraded.
Need to get 3068 MB of archives.
After this operation, 6791 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 alsa-topology-conf all 1.2.5.1-2 [15.5 kB]
Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libasound2-data all 1.2.6.1-1ubuntu1 [19.1 kB]
Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libasound2 amd64 1.2.6.1-1ubuntu1 [390 kB]
Get:4 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cccl-12-4 12.4.99-1 [1199 kB]
Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 alsa-ucm-conf all 1.2.6.3-1ubuntu1.11 [43.6 kB]
Get:6 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatspi2.0-0 amd64 2.44.0-3 [80.9 kB]
Get:7 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdconf1 amd64 0.40.0-3 [40.5 kB]
Get:8 http://archive.ubuntu.com/ubuntu jammy/main amd64 dconf-service amd64 0.40.0-3 [28.5 kB]
Get:9 http://archive.ubuntu.com/ubuntu jammy/main amd64 dconf-gsettings-backend amd64 0.40.0-3 [22.8 kB]
Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 session-migration amd64 0.3.6 [9774 B]
Get:11 http://archive.ubuntu.com/ubuntu jammy/main amd64 gsettings-desktop-schemas all 42.0-1ubuntu1 [31.1 kB]
Get:12 http://archive.ubuntu.com/ubuntu jammy/main amd64 at-spi2-core amd64 2.44.0-3 [54.4 kB]
Get:13 http://archive.ubuntu.com/ubuntu jammy/main amd64 java-common all 0.72build2 [6782 B]
Get:14 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libavahi-common-data amd64 0.8-5ubuntu5.2 [23.8 kB]
Get:15 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libavahi-common3 amd64 0.8-5ubuntu5.2 [23.9 kB]
Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libavahi-client3 amd64 0.8-5ubuntu5.2 [28.0 kB]
Get:17 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cupti-12-4 12.4.99-1 [16.8 MB]
Get:18 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libcups2 amd64 2.4.1op1-1ubuntu4.8 [264 kB]
Get:19 http://archive.ubuntu.com/ubuntu jammy/main amd64 liblcms2-2 amd64 2.12~rc1-2build2 [159 kB]
Get:20 http://archive.ubuntu.com/ubuntu jammy/main amd64 libnspr4 amd64 2:4.32-3build1 [119 kB]
Get:21 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libnss3 amd64 2:3.68.2-0ubuntu1.2 [1280 kB]
Get:22 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgraphite2-3 amd64 1.3.14-1build2 [71.3 kB]
Get:23 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libharfbuzz0b amd64 2.7.4-1ubuntu3.1 [352 kB]
Get:24 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpcsclite1 amd64 1.9.5-3ubuntu1 [19.8 kB]
Get:25 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 openjdk-11-jre-headless amd64 11.0.22+7-0ubuntu2~22.04.1 [42.5 MB]
Get:26 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cupti-dev-12-4 12.4.99-1 [3831 kB]
Get:27 http://archive.ubuntu.com/ubuntu jammy/main amd64 default-jre-headless amd64 2:1.11-72build2 [3042 B]
Get:28 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 ca-certificates-java all 20190909ubuntu1.2 [12.1 kB]
Get:29 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgif7 amd64 5.1.9-2build2 [33.8 kB]
Get:30 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 openjdk-11-jre amd64 11.0.22+7-0ubuntu2~22.04.1 [214 kB]
Get:31 http://archive.ubuntu.com/ubuntu jammy/main amd64 default-jre amd64 2:1.11-72build2 [896 B]
Get:32 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libpixman-1-0 amd64 0.40.0-1ubuntu0.22.04.1 [264 kB]
Get:33 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-render0 amd64 1.14-3ubuntu3 [16.4 kB]
Get:34 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcairo2 amd64 1.16.0-5ubuntu2 [628 kB]
Get:35 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libtinfo5 amd64 6.3-2ubuntu0.1 [100 kB]
Get:36 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xinerama0 amd64 1.14-3ubuntu3 [5414 B]
Get:37 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-icccm4 amd64 0.4.1-1.1build2 [11.5 kB]
Get:38 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-util1 amd64 0.4.0-1build2 [11.4 kB]
Get:39 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-image0 amd64 0.4.0-2 [11.5 kB]
Get:40 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-keysyms1 amd64 0.4.0-1build3 [8746 B]
Get:41 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-render-util0 amd64 0.3.9-1build3 [10.3 kB]
Get:42 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxkbcommon0 amd64 1.4.0-1 [125 kB]
Get:43 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvdisasm-12-4 12.4.99-1 [49.9 MB]
Get:44 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xkb1 amd64 1.14-3ubuntu3 [32.8 kB]
Get:45 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxkbcommon-x11-0 amd64 1.4.0-1 [14.4 kB]
Get:46 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xinput0 amd64 1.14-3ubuntu3 [34.3 kB]
Get:47 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxdamage1 amd64 1:1.1.5-2build2 [7154 B]
Get:48 http://archive.ubuntu.com/ubuntu jammy/main amd64 libopengl0 amd64 1.4.0-1 [36.5 kB]
Get:49 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-server0 amd64 1.20.0-1ubuntu0.1 [34.3 kB]
Get:50 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgbm1 amd64 23.2.1-1ubuntu3.1~22.04.2 [33.5 kB]
Get:51 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libwayland-client0 amd64 1.20.0-1ubuntu0.1 [25.9 kB]
Get:52 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libegl-mesa0 amd64 23.2.1-1ubuntu3.1~22.04.2 [118 kB]
Get:53 http://archive.ubuntu.com/ubuntu jammy/main amd64 libegl1 amd64 1.4.0-1 [28.6 kB]
Get:54 http://archive.ubuntu.com/ubuntu jammy/main amd64 fonts-dejavu-extra all 2.37-2build1 [2041 kB]
Get:55 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatk1.0-data all 2.36.0-3build1 [2824 B]
Get:56 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatk1.0-0 amd64 2.36.0-3build1 [51.9 kB]
Get:57 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatk-bridge2.0-0 amd64 2.38.0-3 [66.6 kB]
Get:58 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatk-wrapper-java all 0.38.0-5build1 [53.1 kB]
Get:59 http://archive.ubuntu.com/ubuntu jammy/main amd64 libatk-wrapper-java-jni amd64 0.38.0-5build1 [49.0 kB]
Get:60 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cuobjdump-12-4 12.4.99-1 [223 kB]
Get:61 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-gdb-12-4 12.4.99-1 [4921 kB]
Get:62 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvprof-12-4 12.4.99-1 [2431 kB]
Get:63 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvtx-12-4 12.4.99-1 [51.6 kB]
Get:64 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-sanitizer-12-4 12.4.99-1 [9149 kB]
Get:65 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-command-line-tools-12-4 12.4.0-1 [2542 B]
Get:66 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cuxxfilt-12-4 12.4.99-1 [190 kB]
Get:67 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-toolkit-config-common 12.4.99-1 [16.5 kB]
Get:68 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-toolkit-12-config-common 12.4.99-1 [16.5 kB]
Get:69 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-toolkit-12-4-config-common 12.4.99-1 [16.4 kB]
Get:70 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cudart-12-4 12.4.99-1 [165 kB]
Get:71 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-driver-dev-12-4 12.4.99-1 [28.6 kB]
Get:72 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-cudart-dev-12-4 12.4.99-1 [1001 kB]
Get:73 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvvm-12-4 12.4.99-1 [19.5 MB]
Get:74 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-crt-12-4 12.4.99-1 [78.0 kB]
Get:75 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvcc-12-4 12.4.99-1 [32.1 MB]
Get:76 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvprune-12-4 12.4.99-1 [58.8 kB]
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Get:80 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-opencl-12-4 12.4.99-1 [24.0 kB]
Get:81 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcublas-12-4 12.4.2.65-1 [230 MB]
Get:82 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcufft-12-4 11.2.0.44-1 [171 MB]
Get:83 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcufile-12-4 1.9.0.20-1 [851 kB]
Get:84 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcurand-12-4 10.3.5.119-1 [41.4 MB]
Get:85 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcusolver-12-4 11.6.0.99-1 [79.3 MB]
Get:86 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcusparse-12-4 12.3.0.142-1 [115 MB]
Get:87 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnpp-12-4 12.2.5.2-1 [95.5 MB]
Get:88 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnvjitlink-12-4 12.4.99-1 [15.5 MB]
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Get:90 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnvjpeg-12-4 12.3.1.89-1 [2327 kB]
Get:91 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-libraries-12-4 12.4.0-1 [2610 B]
Get:92 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-profiler-api-12-4 12.4.99-1 [18.7 kB]
Get:93 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvrtc-dev-12-4 12.4.99-1 [16.9 MB]
Get:94 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-opencl-dev-12-4 12.4.99-1 [87.1 kB]
Get:95 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcublas-dev-12-4 12.4.2.65-1 [247 MB]
Get:96 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcufft-dev-12-4 11.2.0.44-1 [342 MB]
Get:97 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcufile-dev-12-4 1.9.0.20-1 [2436 kB]
Get:98 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcurand-dev-12-4 10.3.5.119-1 [41.6 MB]
Get:99 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcusolver-dev-12-4 11.6.0.99-1 [51.5 MB]
Get:100 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libcusparse-dev-12-4 12.3.0.142-1 [116 MB]
Get:101 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnpp-dev-12-4 12.2.5.2-1 [92.0 MB]
Get:102 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnvjitlink-dev-12-4 12.4.99-1 [13.9 MB]
Get:103 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnvfatbin-dev-12-4 12.4.99-1 [590 kB]
Get:104 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  libnvjpeg-dev-12-4 12.3.1.89-1 [2026 kB]
Get:105 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-libraries-dev-12-4 12.4.0-1 [2654 B]
Get:106 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nsight-12-4 12.4.99-1 [119 MB]
Get:107 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  nsight-compute-2024.1.0 2024.1.0.13-1 [594 MB]
Get:108 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nsight-compute-12-4 12.4.0-1 [4060 B]
Get:109 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  nsight-systems-2023.4.4 2023.4.4.54-234433681190v0 [316 MB]
Get:110 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nsight-systems-12-4 12.4.0-1 [3348 B]
Get:111 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvml-dev-12-4 12.4.99-1 [146 kB]
Get:112 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-nvvp-12-4 12.4.99-1 [115 MB]
Get:113 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-visual-tools-12-4 12.4.0-1 [2938 B]
Get:114 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  gds-tools-12-4 1.9.0.20-1 [39.0 MB]
Get:115 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-tools-12-4 12.4.0-1 [2462 B]
Get:116 https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64  cuda-toolkit-12-4 12.4.0-1 [3236 B]
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Setting up libcufile-dev-12-4 (1.9.0.20-1) ...
Setting up nsight-systems-2023.4.4 (2023.4.4.54-234433681190v0) ...
update-alternatives: using /opt/nvidia/nsight-systems/2023.4.4/target-linux-x64/nsys to provide /usr/local/bin/nsys (nsys) in auto mode
update-alternatives: using /opt/nvidia/nsight-systems/2023.4.4/host-linux-x64/nsys-ui to provide /usr/local/bin/nsys-ui (nsys-ui) in auto mode
Setting up cuda-nvcc-12-4 (12.4.99-1) ...
Setting up libcups2:amd64 (2.4.1op1-1ubuntu4.8) ...
Setting up cuda-compiler-12-4 (12.4.0-1) ...
Setting up cuda-nsight-systems-12-4 (12.4.0-1) ...
Setting up gsettings-desktop-schemas (42.0-1ubuntu1) ...
Setting up cuda-libraries-dev-12-4 (12.4.0-1) ...
Setting up ca-certificates-java (20190909ubuntu1.2) ...
head: cannot open '/etc/ssl/certs/java/cacerts' for reading: No such file or directory
Adding debian:HARICA_TLS_RSA_Root_CA_2021.pem
Adding debian:Buypass_Class_2_Root_CA.pem
Adding debian:Certainly_Root_E1.pem
Adding debian:vTrus_ECC_Root_CA.pem
Adding debian:D-TRUST_BR_Root_CA_1_2020.pem
Adding debian:Microsec_e-Szigno_Root_CA_2009.pem
Adding debian:XRamp_Global_CA_Root.pem
Adding debian:Certigna_Root_CA.pem
Adding debian:HARICA_TLS_ECC_Root_CA_2021.pem
Adding debian:Entrust_Root_Certification_Authority_-_G4.pem
Adding debian:T-TeleSec_GlobalRoot_Class_3.pem
Adding debian:QuoVadis_Root_CA_1_G3.pem
Adding debian:Certainly_Root_R1.pem
Adding debian:AC_RAIZ_FNMT-RCM.pem
Adding debian:USERTrust_RSA_Certification_Authority.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_RSA_R2.pem
Adding debian:CFCA_EV_ROOT.pem
Adding debian:D-TRUST_Root_Class_3_CA_2_EV_2009.pem
Adding debian:ISRG_Root_X2.pem
Adding debian:DigiCert_High_Assurance_EV_Root_CA.pem
Adding debian:DigiCert_Assured_ID_Root_CA.pem
Adding debian:GTS_Root_R4.pem
Adding debian:Go_Daddy_Root_Certificate_Authority_-_G2.pem
Adding debian:Actalis_Authentication_Root_CA.pem
Adding debian:Hongkong_Post_Root_CA_3.pem
Adding debian:GlobalSign_Root_CA_-_R3.pem
Adding debian:ANF_Secure_Server_Root_CA.pem
Adding debian:Security_Communication_Root_CA.pem
Adding debian:GTS_Root_R3.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R5.pem
Adding debian:Trustwave_Global_ECC_P256_Certification_Authority.pem
Adding debian:Amazon_Root_CA_2.pem
Adding debian:GLOBALTRUST_2020.pem
Adding debian:Certigna.pem
Adding debian:GlobalSign_Root_CA.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R4.pem
Adding debian:COMODO_RSA_Certification_Authority.pem
Adding debian:GlobalSign_Root_R46.pem
Adding debian:DigiCert_Global_Root_G2.pem
Adding debian:SecureSign_RootCA11.pem
Adding debian:SZAFIR_ROOT_CA2.pem
Adding debian:Autoridad_de_Certificacion_Firmaprofesional_CIF_A62634068.pem
Adding debian:GTS_Root_R2.pem
Adding debian:vTrus_Root_CA.pem
Adding debian:AffirmTrust_Premium_ECC.pem
Adding debian:Trustwave_Global_Certification_Authority.pem
Adding debian:SSL.com_Root_Certification_Authority_ECC.pem
Adding debian:DigiCert_Trusted_Root_G4.pem
Adding debian:NAVER_Global_Root_Certification_Authority.pem
Adding debian:Baltimore_CyberTrust_Root.pem
Adding debian:E-Tugra_Certification_Authority.pem
Adding debian:T-TeleSec_GlobalRoot_Class_2.pem
Adding debian:Certum_Trusted_Network_CA.pem
Adding debian:SwissSign_Gold_CA_-_G2.pem
Adding debian:Hongkong_Post_Root_CA_1.pem
Adding debian:Entrust_Root_Certification_Authority.pem
Adding debian:Certum_Trusted_Root_CA.pem
Adding debian:USERTrust_ECC_Certification_Authority.pem
Adding debian:emSign_ECC_Root_CA_-_G3.pem
Adding debian:Microsoft_ECC_Root_Certificate_Authority_2017.pem
Adding debian:Trustwave_Global_ECC_P384_Certification_Authority.pem
Adding debian:DigiCert_Global_Root_G3.pem
Adding debian:ISRG_Root_X1.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_ECC.pem
Adding debian:GDCA_TrustAUTH_R5_ROOT.pem
Adding debian:Certum_EC-384_CA.pem
Adding debian:Go_Daddy_Class_2_CA.pem
Adding debian:GTS_Root_R1.pem
Adding debian:COMODO_ECC_Certification_Authority.pem
Adding debian:NetLock_Arany_=Class_Gold=_Főtanúsítvány.pem
Adding debian:emSign_Root_CA_-_G1.pem
Adding debian:UCA_Global_G2_Root.pem
Adding debian:Security_Communication_ECC_RootCA1.pem
Adding debian:QuoVadis_Root_CA_2_G3.pem
Adding debian:Certum_Trusted_Network_CA_2.pem
Adding debian:IdenTrust_Public_Sector_Root_CA_1.pem
Adding debian:Entrust.net_Premium_2048_Secure_Server_CA.pem
Adding debian:QuoVadis_Root_CA_2.pem
Adding debian:ACCVRAIZ1.pem
Adding debian:TeliaSonera_Root_CA_v1.pem
Adding debian:SecureTrust_CA.pem
Adding debian:OISTE_WISeKey_Global_Root_GB_CA.pem
Adding debian:DigiCert_TLS_RSA4096_Root_G5.pem
Adding debian:ePKI_Root_Certification_Authority.pem
Adding debian:AffirmTrust_Networking.pem
Adding debian:TWCA_Global_Root_CA.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_ECC_RootCA_2015.pem
Adding debian:QuoVadis_Root_CA_3_G3.pem
Adding debian:TUBITAK_Kamu_SM_SSL_Kok_Sertifikasi_-_Surum_1.pem
Adding debian:D-TRUST_Root_Class_3_CA_2_2009.pem
Adding debian:certSIGN_ROOT_CA.pem
Adding debian:emSign_Root_CA_-_C1.pem
Adding debian:E-Tugra_Global_Root_CA_RSA_v3.pem
Adding debian:GlobalSign_Root_CA_-_R6.pem
Adding debian:Amazon_Root_CA_1.pem
Adding debian:TWCA_Root_Certification_Authority.pem
Adding debian:IdenTrust_Commercial_Root_CA_1.pem
Adding debian:Starfield_Root_Certificate_Authority_-_G2.pem
Adding debian:DigiCert_TLS_ECC_P384_Root_G5.pem
Adding debian:SwissSign_Silver_CA_-_G2.pem
Adding debian:Telia_Root_CA_v2.pem
Adding debian:Autoridad_de_Certificacion_Firmaprofesional_CIF_A62634068_2.pem
Adding debian:HiPKI_Root_CA_-_G1.pem
Adding debian:certSIGN_Root_CA_G2.pem
Adding debian:e-Szigno_Root_CA_2017.pem
Adding debian:DigiCert_Assured_ID_Root_G3.pem
Adding debian:COMODO_Certification_Authority.pem
Adding debian:Buypass_Class_3_Root_CA.pem
Adding debian:AffirmTrust_Premium.pem
Adding debian:CA_Disig_Root_R2.pem
Adding debian:D-TRUST_EV_Root_CA_1_2020.pem
Adding debian:QuoVadis_Root_CA_3.pem
Adding debian:UCA_Extended_Validation_Root.pem
Adding debian:TunTrust_Root_CA.pem
Adding debian:AC_RAIZ_FNMT-RCM_SERVIDORES_SEGUROS.pem
Adding debian:Amazon_Root_CA_3.pem
Adding debian:emSign_ECC_Root_CA_-_C3.pem
Adding debian:Secure_Global_CA.pem
Adding debian:Amazon_Root_CA_4.pem
Adding debian:Comodo_AAA_Services_root.pem
Adding debian:DigiCert_Assured_ID_Root_G2.pem
Adding debian:Starfield_Services_Root_Certificate_Authority_-_G2.pem
Adding debian:AffirmTrust_Commercial.pem
Adding debian:Starfield_Class_2_CA.pem
Adding debian:Security_Communication_RootCA2.pem
Adding debian:Entrust_Root_Certification_Authority_-_EC1.pem
Adding debian:DigiCert_Global_Root_CA.pem
Adding debian:OISTE_WISeKey_Global_Root_GC_CA.pem
Adding debian:E-Tugra_Global_Root_CA_ECC_v3.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2015.pem
Adding debian:SSL.com_Root_Certification_Authority_RSA.pem
Adding debian:Izenpe.com.pem
Adding debian:Entrust_Root_Certification_Authority_-_G2.pem
Adding debian:Microsoft_RSA_Root_Certificate_Authority_2017.pem
Adding debian:GlobalSign_Root_E46.pem
Adding debian:Atos_TrustedRoot_2011.pem
Adding debian:Security_Communication_RootCA3.pem
done.
Setting up default-jre-headless (2:1.11-72build2) ...
Processing triggers for libglib2.0-0:amd64 (2.72.4-0ubuntu2.2) ...
Processing triggers for libc-bin (2.35-0ubuntu3.6) ...
/sbin/ldconfig.real: Can't link /usr/lib/wsl/lib/libnvoptix_loader.so.1 to libnvoptix.so.1
/sbin/ldconfig.real: /usr/lib/wsl/lib/libcuda.so.1 is not a symbolic link

Processing triggers for man-db (2.10.2-1) ...
Processing triggers for ca-certificates (20230311ubuntu0.22.04.1) ...
Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...

done.
done.
Setting up at-spi2-core (2.44.0-3) ...
Setting up openjdk-11-jre-headless:amd64 (11.0.22+7-0ubuntu2~22.04.1) ...
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/java to provide /usr/bin/java (java) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/jjs to provide /usr/bin/jjs (jjs) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/keytool to provide /usr/bin/keytool (keytool) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/rmid to provide /usr/bin/rmid (rmid) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/rmiregistry to provide /usr/bin/rmiregistry (rmiregistry) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/pack200 to provide /usr/bin/pack200 (pack200) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/bin/unpack200 to provide /usr/bin/unpack200 (unpack200) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-amd64/lib/jexec to provide /usr/bin/jexec (jexec) in auto mode
Setting up openjdk-11-jre:amd64 (11.0.22+7-0ubuntu2~22.04.1) ...
Setting up default-jre (2:1.11-72build2) ...
Setting up cuda-nsight-12-4 (12.4.99-1) ...
Setting up cuda-nvvp-12-4 (12.4.99-1) ...
Setting up cuda-visual-tools-12-4 (12.4.0-1) ...
Setting up cuda-tools-12-4 (12.4.0-1) ...
Setting up cuda-toolkit-12-4 (12.4.0-1) ...
threadwaiting@DLY530:~/privateGPT$

Add the following lines to your .bashrc:

Bash

export PATH="/usr/local/cuda-12.4/bin:$PATH"
export LD_LIBRARY_PATH="/usr/local/cuda-12.4/lib64:$LD_LIBRARY_PATH"

Maybe check the content of “/usr/local” to be sure that you do have the “cuda-12.4” folder. Yours might have a different version. Like->

threadwaiting@DLY530:/$ cd /usr/local
threadwaiting@DLY530:/usr/local$ ls
bin  cuda  cuda-12  cuda-12.4  etc  games  include  lib  man  sbin  share  src
threadwaiting@DLY530:/usr/local$

Reload your configuration and check that all is working as expected

Bash

source ~/.bashrc
nvcc --version
nvidia-smi.exe

“nvidia-smi” isn’t available on WSL so just verify that the .exe one detects your hardware. Both commands should displayed gibberish but no apparent errors.

threadwaiting@DLY530:~/privateGPT$ source ~/.bashrc
threadwaiting@DLY530:~/privateGPT$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Tue_Feb_27_16:19:38_PST_2024
Cuda compilation tools, release 12.4, V12.4.99
Build cuda_12.4.r12.4/compiler.33961263_0
threadwaiting@DLY530:~/privateGPT$ nvidia-smi.exe
Sat Mar 16 18:08:35 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 551.76                 Driver Version: 551.76         CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                     TCC/WDDM  | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce GTX 1050 Ti   WDDM  |   00000000:01:00.0  On |                  N/A |
| N/A   54C    P8             N/A / ERR!  |     368MiB /   4096MiB |      1%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A      5808    C+G   ...siveControlPanel\SystemSettings.exe      N/A      |
|    0   N/A  N/A      6380    C+G   ...oogle\Chrome\Application\chrome.exe      N/A      |
|    0   N/A  N/A     12844    C+G   ...nt.CBS_cw5n1h2txyewy\SearchHost.exe      N/A      |
|    0   N/A  N/A     14456    C+G   C:\Windows\explorer.exe                     N/A      |
|    0   N/A  N/A     14608    C+G   ...2txyewy\StartMenuExperienceHost.exe      N/A      |
|    0   N/A  N/A     17256    C+G   ...5n1h2txyewy\ShellExperienceHost.exe      N/A      |
|    0   N/A  N/A     18016    C+G   ...t.LockApp_cw5n1h2txyewy\LockApp.exe      N/A      |
|    0   N/A  N/A     18332    C+G   ...__8wekyb3d8bbwe\Notepad\Notepad.exe      N/A      |
|    0   N/A  N/A     18472    C+G   ...crosoft\Edge\Application\msedge.exe      N/A      |
|    0   N/A  N/A     19224    C+G   ...CBS_cw5n1h2txyewy\TextInputHost.exe      N/A      |
|    0   N/A  N/A     21016      C   ...ta\Local\Programs\Ollama\ollama.exe      N/A      |
|    0   N/A  N/A     23760    C+G   ...__8wekyb3d8bbwe\WindowsTerminal.exe      N/A      |
|    0   N/A  N/A     23840    C+G   ...ekyb3d8bbwe\PhoneExperienceHost.exe      N/A      |
|    0   N/A  N/A     24264    C+G   ...on\122.0.2365.80\msedgewebview2.exe      N/A      |
+-----------------------------------------------------------------------------------------+
threadwaiting@DLY530:~/privateGPT$

Building and Running PrivateGPT

Finally, install LLAMA CUDA libraries and Python bindings:

Bash

CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python

Output

threadwaiting@DLY530:~/privateGPT$ CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python
Collecting llama-cpp-python
  Downloading llama_cpp_python-0.2.56.tar.gz (36.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.9/36.9 MB 33.8 MB/s eta 0:00:00
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
  Preparing metadata (pyproject.toml) ... done
Collecting typing-extensions>=4.5.0 (from llama-cpp-python)
  Downloading typing_extensions-4.10.0-py3-none-any.whl.metadata (3.0 kB)
Collecting numpy>=1.20.0 (from llama-cpp-python)
  Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.0/61.0 kB 150.7 MB/s eta 0:00:00
Collecting diskcache>=5.6.1 (from llama-cpp-python)
  Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Collecting jinja2>=2.11.3 (from llama-cpp-python)
  Downloading Jinja2-3.1.3-py3-none-any.whl.metadata (3.3 kB)
Collecting MarkupSafe>=2.0 (from jinja2>=2.11.3->llama-cpp-python)
  Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)
Downloading diskcache-5.6.3-py3-none-any.whl (45 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.5/45.5 kB 60.8 MB/s eta 0:00:00
Downloading Jinja2-3.1.3-py3-none-any.whl (133 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.2/133.2 kB 162.0 MB/s eta 0:00:00
Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.3/18.3 MB 34.0 MB/s eta 0:00:00
Downloading typing_extensions-4.10.0-py3-none-any.whl (33 kB)
Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (28 kB)
Building wheels for collected packages: llama-cpp-python
  Building wheel for llama-cpp-python (pyproject.toml) ... done
  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.2.56-cp311-cp311-manylinux_2_35_x86_64.whl size=26653612 sha256=33cea5eede787340eead20cd29502dc72e9c41f4c10e40989894f41da59cf32a
  Stored in directory: /tmp/pip-ephem-wheel-cache-5uedjcnx/wheels/f5/48/62/014b1a3c38f77df21219f81ed63ca4c09531d52a205b15d8e4
Successfully built llama-cpp-python
Installing collected packages: typing-extensions, numpy, MarkupSafe, diskcache, jinja2, llama-cpp-python
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.9.0
    Uninstalling typing_extensions-4.9.0:
      Successfully uninstalled typing_extensions-4.9.0
  Attempting uninstall: numpy
    Found existing installation: numpy 1.26.0
    Uninstalling numpy-1.26.0:
      Successfully uninstalled numpy-1.26.0
  Attempting uninstall: MarkupSafe
    Found existing installation: MarkupSafe 2.1.3
    Uninstalling MarkupSafe-2.1.3:
      Successfully uninstalled MarkupSafe-2.1.3
  Attempting uninstall: jinja2
    Found existing installation: Jinja2 3.1.2
    Uninstalling Jinja2-3.1.2:
      Successfully uninstalled Jinja2-3.1.2
Successfully installed MarkupSafe-2.1.5 diskcache-5.6.3 jinja2-3.1.3 llama-cpp-python-0.2.56 numpy-1.26.4 typing-extensions-4.10.0
threadwaiting@DLY530:~/privateGPT$

Let private GPT download a local LLM for you (mixtral by default):

Bash

poetry run python scripts/setup

Output

threadwaiting@DLY530:~/privateGPT$ poetry run python scripts/setup
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
18:15:20.738 [INFO    ] private_gpt.settings.settings_loader - Starting application with profiles=['default']
Downloading embedding BAAI/bge-small-en-v1.5
config.json: 100%|█████████████████████████████████████████████████████████████████████| 743/743 [00:00<00:00, 3.85MB/s]
config_sentence_transformers.json: 100%|████████████████████████████████████████████████| 124/124 [00:00<00:00, 676kB/s]
sentence_bert_config.json: 100%|██████████████████████████████████████████████████████| 52.0/52.0 [00:00<00:00, 141kB/s]1_Pooling/config.json: 100%|████████████████████████████████████████████████████████████| 190/190 [00:00<00:00, 789kB/s].gitattributes: 100%|██████████████████████████████████████████████████████████████| 1.52k/1.52k [00:00<00:00, 9.79MB/s]
modules.json: 100%|█████████████████████████████████████████████████████████████████████| 349/349 [00:00<00:00, 534kB/s]
special_tokens_map.json: 100%|██████████████████████████████████████████████████████████| 125/125 [00:00<00:00, 290kB/s]README.md: 100%|████████████████████████████████████████████████████████████████████| 94.8k/94.8k [00:00<00:00, 441kB/s]
tokenizer_config.json: 100%|███████████████████████████████████████████████████████████| 366/366 [00:00<00:00, 2.04MB/s]tokenizer.json: 100%|█████████████████████████████████████████████████████████████████| 711k/711k [00:00<00:00, 844kB/s]
vocab.txt: 100%|██████████████████████████████████████████████████████████████████████| 232k/232k [00:00<00:00, 541kB/s]pytorch_model.bin: 100%|█████████████████████████████████████████████████████████████| 134M/134M [00:06<00:00, 20.3MB/s]model.onnx: 100%|████████████████████████████████████████████████████████████████████| 133M/133M [00:07<00:00, 17.1MB/s]
model.safetensors: 100%|█████████████████████████████████████████████████████████████| 133M/133M [00:09<00:00, 14.6MB/s]
Fetching 14 files: 100%|████████████████████████████████████████████████████████████████| 14/14 [00:10<00:00,  1.38it/s]
Embedding model downloaded!██████████████████████████████████████████████████████████| 133M/133M [00:09<00:00, 25.6MB/s]
Downloading LLM mistral-7b-instruct-v0.2.Q4_K_M.gguf
mistral-7b-instruct-v0.2.Q4_K_M.gguf: 100%|████████████████████████████████████████| 4.37G/4.37G [03:11<00:00, 22.8MB/s]
LLM model downloaded!
Downloading tokenizer mistralai/Mistral-7B-Instruct-v0.2
tokenizer_config.json: 100%|███████████████████████████████████████████████████████| 1.46k/1.46k [00:00<00:00, 2.15MB/s]
tokenizer.model: 100%|███████████████████████████████████████████████████████████████| 493k/493k [00:00<00:00, 15.8MB/s]
tokenizer.json: 100%|██████████████████████████████████████████████████████████████| 1.80M/1.80M [00:00<00:00, 2.82MB/s]
special_tokens_map.json: 100%|████████████████████████████████████████████████████████| 72.0/72.0 [00:00<00:00, 435kB/s]
Tokenizer downloaded!
Setup done
threadwaiting@DLY530:~/privateGPT$

To run PrivateGPT, use the following command:

Bash

make run

This will initialize and boot PrivateGPT with GPU support on your WSL environment.

threadwaiting@DLY530:~/privateGPT$ make run
poetry run python -m private_gpt
19:07:14.275 [INFO] private_gpt.settings.settings_loader - Starting application with profiles=['default']
19:07:20.594 [INFO] private_gpt.components.llm.llm_component - Initializing the LLM in mode=llamacpp
llama_model_loader: loaded meta data with 24 key-value pairs and 291 tensors from /home/threadwaiting/privateGPT/models/mistral-7b-instruct-v0.2.Q4_K_M.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv   0:                       general.architecture str              = llama
llama_model_loader: - kv   1:                               general.name str              = mistralai_mistral-7b-instruct-v0.2
llama_model_loader: - kv   2:                       llama.context_length u32              = 32768
llama_model_loader: - kv   3:                     llama.embedding_length u32              = 4096
llama_model_loader: - kv   4:                          llama.block_count u32              = 32
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 14336
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 32
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 8
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  11:                          general.file_type u32              = 15
llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,32000]   = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr[f32,32000]   = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr[i32,32000]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  18:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  19:            tokenizer.ggml.padding_token_id u32              = 0
llama_model_loader: - kv  20:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  21:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  22:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...
llama_model_loader: - kv  23:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:   65 tensors
llama_model_loader: - type q4_K:  193 tensors
llama_model_loader: - type q6_K:   33 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = SPM
llm_load_print_meta: n_vocab          = 32000
llm_load_print_meta: n_merges         = 0
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 4096
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 8
llm_load_print_meta: n_layer          = 32
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_embd_head_k    = 128
llm_load_print_meta: n_embd_head_v    = 128
llm_load_print_meta: n_gqa            = 4
llm_load_print_meta: n_embd_k_gqa     = 1024
llm_load_print_meta: n_embd_v_gqa     = 1024
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-05
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff             = 14336
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: pooling type     = 0
llm_load_print_meta: rope type        = 0
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: model type       = 7B
llm_load_print_meta: model ftype      = Q4_K - Medium
llm_load_print_meta: model params     = 7.24 B
llm_load_print_meta: model size       = 4.07 GiB (4.83 BPW)
llm_load_print_meta: general.name     = mistralai_mistral-7b-instruct-v0.2
llm_load_print_meta: BOS token        = 1 '<s>'
llm_load_print_meta: EOS token        = 2 '</s>'
llm_load_print_meta: UNK token        = 0 '<unk>'
llm_load_print_meta: PAD token        = 0 '<unk>'
llm_load_print_meta: LF token         = 13 '<0x0A>'
llm_load_tensors: ggml ctx size =    0.11 MiB
llm_load_tensors:        CPU buffer size =  4165.37 MiB
.................................................................................................
llama_new_context_with_model: n_ctx      = 3900
llama_new_context_with_model: freq_base  = 1000000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init:        CPU KV buffer size =   487.50 MiB
llama_new_context_with_model: KV self size  =  487.50 MiB, K (f16):  243.75 MiB, V (f16):  243.75 MiB
llama_new_context_with_model:        CPU input buffer size   =    16.65 MiB
llama_new_context_with_model:        CPU compute buffer size =   275.75 MiB
llama_new_context_with_model: graph splits (measure): 1
AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 |
Model metadata: {'tokenizer.chat_template': "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", 'tokenizer.ggml.add_eos_token': 'false', 'tokenizer.ggml.padding_token_id': '0', 'tokenizer.ggml.unknown_token_id': '0', 'tokenizer.ggml.eos_token_id': '2', 'general.architecture': 'llama', 'llama.rope.freq_base': '1000000.000000', 'llama.context_length': '32768', 'general.name': 'mistralai_mistral-7b-instruct-v0.2', 'tokenizer.ggml.add_bos_token': 'true', 'llama.embedding_length': '4096', 'llama.feed_forward_length': '14336', 'llama.attention.layer_norm_rms_epsilon': '0.000010', 'llama.rope.dimension_count': '128', 'tokenizer.ggml.bos_token_id': '1', 'llama.attention.head_count': '32', 'llama.block_count': '32', 'llama.attention.head_count_kv': '8', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'llama', 'general.file_type': '15'}
Guessed chat format: mistral-instruct
19:07:22.281 [INFO    ] private_gpt.components.embedding.embedding_component - Initializing the embedding model in mode=huggingface
19:07:24.485 [INFO    ] llama_index.core.indices.loading - Loading all indices.
19:07:25.054 [INFO    ]         private_gpt.ui.ui - Mounting the gradio UI, at path=/
19:07:25.132 [INFO    ]             uvicorn.error - Started server process [23278]
19:07:25.132 [INFO    ]             uvicorn.error - Waiting for application startup.
19:07:25.132 [INFO    ]             uvicorn.error - Application startup complete.
19:07:25.134 [INFO    ]             uvicorn.error - Uvicorn running on http://0.0.0.0:8001 (Press CTRL+C to quit)
19:07:32.583 [INFO    ]            uvicorn.access - 127.0.0.1:59870 - "GET / HTTP/1.1" 200
19:07:32.656 [INFO    ]            uvicorn.access - 127.0.0.1:59870 - "GET /assets/index-7905665e.js HTTP/1.1" 200
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19:07:32.846 [INFO    ]            uvicorn.access - 127.0.0.1:59872 - "GET /info HTTP/1.1" 200
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19:07:33.033 [INFO    ]            uvicorn.access - 127.0.0.1:59878 - "GET /assets/BlockTitle-26127777.js HTTP/1.1" 200
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19:07:33.477 [INFO    ]            uvicorn.access - 127.0.0.1:59876 - "POST /run/predict HTTP/1.1" 200
19:07:33.534 [INFO    ]            uvicorn.access - 127.0.0.1:59876 - "POST /queue/join HTTP/1.1" 200
19:07:33.551 [INFO    ]            uvicorn.access - 127.0.0.1:59876 - "GET /queue/data?session_hash=41q29xxpl9o HTTP/1.1" 200
19:07:36.962 [INFO    ]            uvicorn.access - 127.0.0.1:59876 - "POST /queue/join HTTP/1.1" 200
19:07:36.968 [INFO    ]         private_gpt.ui.ui - Setting system prompt to: You are a helpful, respectful and honest assistant.  Always answer as helpfully as possible and follow ALL given instructions. Do not speculate or make up information. Do not reference any given instructions or context.

19:07:36.977 [INFO    ]            uvicorn.access - 127.0.0.1:59876 - "GET /queue/data?session_hash=41q29xxpl9o HTTP/1.1" 200
19:07:42.872 [INFO    ]            uvicorn.access - 127.0.0.1:59884 - "POST /run/predict HTTP/1.1" 200
19:07:42.873 [INFO    ]            uvicorn.access - 127.0.0.1:59882 - "POST /run/predict HTTP/1.1" 200
19:07:42.885 [INFO    ]            uvicorn.access - 127.0.0.1:59882 - "POST /run/predict HTTP/1.1" 200
19:07:42.895 [INFO    ]            uvicorn.access - 127.0.0.1:59882 - "POST /queue/join HTTP/1.1" 200
19:07:42.906 [INFO    ]            uvicorn.access - 127.0.0.1:59882 - "GET /queue/data?session_hash=41q29xxpl9o HTTP/1.1" 200
19:08:01.418 [INFO    ]            uvicorn.access - 127.0.0.1:59886 - "GET /file%3D/tmp/gradio/533bd8ba49221de137dda94fdfeed4bebe7a7878/avatar-bot.ico HTTP/1.1" 200

llama_print_timings:        load time =   18425.53 ms
llama_print_timings:      sample time =      36.96 ms /    78 runs   (    0.47 ms per token,  2110.16 tokens per second)
llama_print_timings: prompt eval time =   18425.10 ms /    61 tokens (  302.05 ms per token,     3.31 tokens per second)
llama_print_timings:        eval time =   30838.87 ms /    77 runs   (  400.50 ms per token,     2.50 tokens per second)
llama_print_timings:       total time =   49641.38 ms /   138 tokens
** Prompt: **
<s>[INST] You are a helpful, respectful and honest assistant.  Always answer as helpfully as possible and follow ALL given instructions. Do not speculate or make up information. Do not reference any given instructions or context. [/INST]</s>[INST] Hello [/INST]
**************************************************
** Completion: **
 Hello! How may I assist you today? I'm here to help answer any questions you have to the best of my ability. Please keep in mind that I don't have the ability to speculate or make up information, and I'll always follow all given instructions. Let me know if you have a specific question or topic you'd like me to help with.
**************************************************


** Messages: **
system: You are a helpful, respectful and honest assistant.  Always answer as helpfully as possible and follow ALL given instructions. Do not speculate or make up information. Do not reference any given instructions or context.

user: Hello
**************************************************
** Response: **
assistant:  Hello! How may I assist you today? I'm here to help answer any questions you have to the best of my ability. Please keep in mind that I don't have the ability to speculate or make up information, and I'll always follow all given instructions. Let me know if you have a specific question or topic you'd like me to help with.
**************************************************


19:08:32.633 [INFO    ]            uvicorn.access - 127.0.0.1:59882 - "POST /run/predict HTTP/1.1" 200

Go to 127.0.0.1:8001 in your browser and enjoy your PrivateGPT!

References:

Setup Your Own Local Private GPT!

Introduction

Privacy and Data Security Related Issues

Setting up a local instance of GPT

Implementation

Getting Started

Setting Up Windows Subsystem for Linux (WSL):

Output

Updating Ubuntu

Output

Cloning the PrivateGPT repository from Git

Output

Setting Up Python Environment

Output

Updated .bashrc

Output

Output

Poetry Installation

Output

Output

Installing PrivateGPT Dependencies

Output

Nvidia Drivers Installation

Output

Building and Running PrivateGPT

Output

Output

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Setup Your Own Local Private GPT!

Introduction

Privacy and Data Security Related Issues

Setting up a local instance of GPT

Implementation

Getting Started

Setting Up Windows Subsystem for Linux (WSL):

Output

Updating Ubuntu

Output

Cloning the PrivateGPT repository from Git

Output

Setting Up Python Environment

Output

Updated .bashrc

Output

Output

Poetry Installation

Output

Output

Installing PrivateGPT Dependencies

Output

Nvidia Drivers Installation

Output

Building and Running PrivateGPT

Output

Output

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Recent Posts

Categories

Archives

Meta