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  1. .gitattributes +662 -0
  2. .github/FUNDING.yml +1 -0
  3. .github/ISSUE_TEMPLATE/bug_report_template.yml +53 -0
  4. .github/ISSUE_TEMPLATE/feature_request.md +16 -0
  5. .github/dependabot.yml +11 -0
  6. .github/pull_request_template.md +3 -0
  7. .github/workflows/auto-release.yml +28 -0
  8. .github/workflows/stale.yml +22 -0
  9. .gitignore +49 -0
  10. CMD_FLAGS.txt +3 -0
  11. Colab-TextGen-GPU.ipynb +133 -0
  12. LICENSE +661 -0
  13. README.md +428 -8
  14. __pycache__/download-model.cpython-311.pyc +0 -0
  15. __pycache__/server.cpython-311.pyc +0 -0
  16. cache/cache_Example.png.png +0 -0
  17. characters/Assistant.yaml +4 -0
  18. characters/Example.png +0 -0
  19. characters/Example.yaml +17 -0
  20. cmd_linux.sh +22 -0
  21. cmd_macos.sh +24 -0
  22. cmd_windows.bat +34 -0
  23. cmd_wsl.bat +11 -0
  24. convert-to-safetensors.py +38 -0
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  27. css/NotoSans/NotoSans-BlackItalic.woff +0 -0
  28. css/NotoSans/NotoSans-BlackItalic.woff2 +0 -0
  29. css/NotoSans/NotoSans-Bold.woff +0 -0
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  31. css/NotoSans/NotoSans-BoldItalic.woff +0 -0
  32. css/NotoSans/NotoSans-BoldItalic.woff2 +0 -0
  33. css/NotoSans/NotoSans-ExtraBold.woff +0 -0
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  35. css/NotoSans/NotoSans-ExtraBoldItalic.woff +0 -0
  36. css/NotoSans/NotoSans-ExtraBoldItalic.woff2 +0 -0
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  40. css/NotoSans/NotoSans-ExtraLightItalic.woff2 +0 -0
  41. css/NotoSans/NotoSans-Italic.woff +0 -0
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  49. css/NotoSans/NotoSans-MediumItalic.woff +0 -0
  50. css/NotoSans/NotoSans-MediumItalic.woff2 +0 -0
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+ installer_files/env/libexec/git-core/git-remote-ftps filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-remote-http filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-remote-https filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-replace filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-rerere filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-reset filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-restore filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-rev-list filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-rev-parse filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-revert filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-rm filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-send-pack filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-sh-i18n--envsubst filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-shell filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-shortlog filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-show filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-show-branch filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-show-index filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-sparse-checkout filter=lfs diff=lfs merge=lfs -text
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+ installer_files/env/libexec/git-core/git-stage filter=lfs diff=lfs merge=lfs -text
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.github/FUNDING.yml ADDED
@@ -0,0 +1 @@
 
 
1
+ ko_fi: oobabooga
.github/ISSUE_TEMPLATE/bug_report_template.yml ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: "Bug report"
2
+ description: Report a bug
3
+ labels: [ "bug" ]
4
+ body:
5
+ - type: markdown
6
+ attributes:
7
+ value: |
8
+ Thanks for taking the time to fill out this bug report!
9
+ - type: textarea
10
+ id: bug-description
11
+ attributes:
12
+ label: Describe the bug
13
+ description: A clear and concise description of what the bug is.
14
+ placeholder: Bug description
15
+ validations:
16
+ required: true
17
+ - type: checkboxes
18
+ attributes:
19
+ label: Is there an existing issue for this?
20
+ description: Please search to see if an issue already exists for the issue you encountered.
21
+ options:
22
+ - label: I have searched the existing issues
23
+ required: true
24
+ - type: textarea
25
+ id: reproduction
26
+ attributes:
27
+ label: Reproduction
28
+ description: Please provide the steps necessary to reproduce your issue.
29
+ placeholder: Reproduction
30
+ validations:
31
+ required: true
32
+ - type: textarea
33
+ id: screenshot
34
+ attributes:
35
+ label: Screenshot
36
+ description: "If possible, please include screenshot(s) so that we can understand what the issue is."
37
+ - type: textarea
38
+ id: logs
39
+ attributes:
40
+ label: Logs
41
+ description: "Please include the full stacktrace of the errors you get in the command-line (if any)."
42
+ render: shell
43
+ validations:
44
+ required: true
45
+ - type: textarea
46
+ id: system-info
47
+ attributes:
48
+ label: System Info
49
+ description: "Please share your system info with us: operating system, GPU brand, and GPU model. If you are using a Google Colab notebook, mention that instead."
50
+ render: shell
51
+ placeholder:
52
+ validations:
53
+ required: true
.github/ISSUE_TEMPLATE/feature_request.md ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ name: Feature request
3
+ about: Suggest an improvement or new feature for the web UI
4
+ title: ''
5
+ labels: 'enhancement'
6
+ assignees: ''
7
+
8
+ ---
9
+
10
+ **Description**
11
+
12
+ A clear and concise description of what you want to be implemented.
13
+
14
+ **Additional Context**
15
+
16
+ If applicable, please provide any extra information, external links, or screenshots that could be useful.
.github/dependabot.yml ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # To get started with Dependabot version updates, you'll need to specify which
2
+ # package ecosystems to update and where the package manifests are located.
3
+ # Please see the documentation for all configuration options:
4
+ # https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
5
+
6
+ version: 2
7
+ updates:
8
+ - package-ecosystem: "pip" # See documentation for possible values
9
+ directory: "/" # Location of package manifests
10
+ schedule:
11
+ interval: "weekly"
.github/pull_request_template.md ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ ## Checklist:
2
+
3
+ - [ ] I have read the [Contributing guidelines](https://github.com/oobabooga/text-generation-webui/wiki/Contributing-guidelines).
.github/workflows/auto-release.yml ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: Weekly Snapshot Release
2
+ on:
3
+ schedule:
4
+ - cron: '15 20 * * 0'
5
+ workflow_dispatch: {}
6
+
7
+ jobs:
8
+ create_release:
9
+ runs-on: ubuntu-latest
10
+ steps:
11
+ - name: Checkout code
12
+ uses: actions/checkout@v2
13
+
14
+ - name: Set snapshot tag
15
+ id: set_snapshot_tag
16
+ run: echo ::set-output name=tag::snapshot-$(date +'%Y-%m-%d')
17
+
18
+ - name: Create release
19
+ id: create_release
20
+ uses: softprops/action-gh-release@v1
21
+ with:
22
+ generate_release_notes: true
23
+ tag_name: ${{ steps.set_snapshot_tag.outputs.tag }}
24
+ name: ${{ steps.set_snapshot_tag.outputs.tag }}
25
+ draft: false
26
+ prerelease: false
27
+ env:
28
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
.github/workflows/stale.yml ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: Close inactive issues
2
+ on:
3
+ schedule:
4
+ - cron: "10 23 * * *"
5
+
6
+ jobs:
7
+ close-issues:
8
+ runs-on: ubuntu-latest
9
+ permissions:
10
+ issues: write
11
+ pull-requests: write
12
+ steps:
13
+ - uses: actions/stale@v5
14
+ with:
15
+ stale-issue-message: ""
16
+ close-issue-message: "This issue has been closed due to inactivity for 6 weeks. If you believe it is still relevant, please leave a comment below. You can tag a developer in your comment."
17
+ days-before-issue-stale: 42
18
+ days-before-issue-close: 0
19
+ stale-issue-label: "stale"
20
+ days-before-pr-stale: -1
21
+ days-before-pr-close: -1
22
+ repo-token: ${{ secrets.GITHUB_TOKEN }}
.gitignore ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ /cache
2
+ /characters
3
+ /css
4
+ /extensions
5
+ /grammars
6
+ /installer_files
7
+ /logs
8
+ /loras
9
+ /models
10
+ /presets
11
+ /prompts
12
+ /repositories
13
+ /softprompts
14
+ /torch-dumps
15
+ /training/datasets
16
+
17
+ /CMD_FLAGS.txt
18
+ /img_bot*
19
+ /img_me*
20
+ /models/config-user.yaml
21
+ /notification.mp3
22
+ /settings*.json
23
+ /settings*.yaml
24
+
25
+ .chroma
26
+ .DS_Store
27
+ .eslintrc.js
28
+ .idea
29
+ .venv
30
+ venv
31
+ .envrc
32
+ .direnv
33
+ .vscode
34
+ *.bak
35
+ *.ipynb
36
+ *.log
37
+ *pycache*
38
+ cert.pem
39
+ key.pem
40
+ package.json
41
+ package-lock.json
42
+ Thumbs.db
43
+ wandb
44
+
45
+ # ignore user docker config and top level links to docker files
46
+ /docker-compose.yaml
47
+ /docker-compose.yml
48
+ /Dockerfile
49
+ .env
CMD_FLAGS.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ # Only used by the one-click installer.
2
+ # Example:
3
+ # --listen --api
Colab-TextGen-GPU.ipynb ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "nbformat": 4,
3
+ "nbformat_minor": 0,
4
+ "metadata": {
5
+ "colab": {
6
+ "private_outputs": true,
7
+ "provenance": [],
8
+ "gpuType": "T4"
9
+ },
10
+ "kernelspec": {
11
+ "name": "python3",
12
+ "display_name": "Python 3"
13
+ },
14
+ "language_info": {
15
+ "name": "python"
16
+ },
17
+ "accelerator": "GPU"
18
+ },
19
+ "cells": [
20
+ {
21
+ "cell_type": "markdown",
22
+ "source": [
23
+ "# oobabooga/text-generation-webui\n",
24
+ "\n",
25
+ "After running both cells, a public gradio URL will appear at the bottom in a few minutes. You can optionally generate an API link.\n",
26
+ "\n",
27
+ "* Project page: https://github.com/oobabooga/text-generation-webui\n",
28
+ "* Gradio server status: https://status.gradio.app/"
29
+ ],
30
+ "metadata": {
31
+ "id": "MFQl6-FjSYtY"
32
+ }
33
+ },
34
+ {
35
+ "cell_type": "code",
36
+ "source": [
37
+ "#@title 1. Keep this tab alive to prevent Colab from disconnecting you { display-mode: \"form\" }\n",
38
+ "\n",
39
+ "#@markdown Press play on the music player that will appear below:\n",
40
+ "%%html\n",
41
+ "<audio src=\"https://oobabooga.github.io/silence.m4a\" controls>"
42
+ ],
43
+ "metadata": {
44
+ "id": "f7TVVj_z4flw"
45
+ },
46
+ "execution_count": null,
47
+ "outputs": []
48
+ },
49
+ {
50
+ "cell_type": "code",
51
+ "source": [
52
+ "#@title 2. Launch the web UI\n",
53
+ "\n",
54
+ "#@markdown If unsure about the branch, write \"main\" or leave it blank.\n",
55
+ "\n",
56
+ "import torch\n",
57
+ "from pathlib import Path\n",
58
+ "\n",
59
+ "if Path.cwd().name != 'text-generation-webui':\n",
60
+ " print(\"Installing the webui...\")\n",
61
+ "\n",
62
+ " !git clone https://github.com/oobabooga/text-generation-webui\n",
63
+ " %cd text-generation-webui\n",
64
+ "\n",
65
+ " torver = torch.__version__\n",
66
+ " print(f\"TORCH: {torver}\")\n",
67
+ " is_cuda118 = '+cu118' in torver # 2.1.0+cu118\n",
68
+ " is_cuda117 = '+cu117' in torver # 2.0.1+cu117\n",
69
+ "\n",
70
+ " textgen_requirements = open('requirements.txt').read().splitlines()\n",
71
+ " if is_cuda117:\n",
72
+ " textgen_requirements = [req.replace('+cu121', '+cu117').replace('+cu122', '+cu117').replace('torch2.1', 'torch2.0') for req in textgen_requirements]\n",
73
+ " elif is_cuda118:\n",
74
+ " textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements]\n",
75
+ " with open('temp_requirements.txt', 'w') as file:\n",
76
+ " file.write('\\n'.join(textgen_requirements))\n",
77
+ "\n",
78
+ " !pip install -r extensions/openai/requirements.txt --upgrade\n",
79
+ " !pip install -r temp_requirements.txt --upgrade\n",
80
+ "\n",
81
+ " print(\"\\033[1;32;1m\\n --> If you see a warning about \\\"previously imported packages\\\", just ignore it.\\033[0;37;0m\")\n",
82
+ " print(\"\\033[1;32;1m\\n --> There is no need to restart the runtime.\\n\\033[0;37;0m\")\n",
83
+ "\n",
84
+ " try:\n",
85
+ " import flash_attn\n",
86
+ " except:\n",
87
+ " !pip uninstall -y flash_attn\n",
88
+ "\n",
89
+ "# Parameters\n",
90
+ "model_url = \"https://huggingface.co/TheBloke/MythoMax-L2-13B-GPTQ\" #@param {type:\"string\"}\n",
91
+ "branch = \"gptq-4bit-32g-actorder_True\" #@param {type:\"string\"}\n",
92
+ "command_line_flags = \"--n-gpu-layers 128 --load-in-4bit --use_double_quant\" #@param {type:\"string\"}\n",
93
+ "api = False #@param {type:\"boolean\"}\n",
94
+ "\n",
95
+ "if api:\n",
96
+ " for param in ['--api', '--public-api']:\n",
97
+ " if param not in command_line_flags:\n",
98
+ " command_line_flags += f\" {param}\"\n",
99
+ "\n",
100
+ "model_url = model_url.strip()\n",
101
+ "if model_url != \"\":\n",
102
+ " if not model_url.startswith('http'):\n",
103
+ " model_url = 'https://huggingface.co/' + model_url\n",
104
+ "\n",
105
+ " # Download the model\n",
106
+ " url_parts = model_url.strip('/').strip().split('/')\n",
107
+ " output_folder = f\"{url_parts[-2]}_{url_parts[-1]}\"\n",
108
+ " branch = branch.strip('\"\\' ')\n",
109
+ " if branch.strip() not in ['', 'main']:\n",
110
+ " output_folder += f\"_{branch}\"\n",
111
+ " !python download-model.py {model_url} --branch {branch}\n",
112
+ " else:\n",
113
+ " !python download-model.py {model_url}\n",
114
+ "else:\n",
115
+ " output_folder = \"\"\n",
116
+ "\n",
117
+ "# Start the web UI\n",
118
+ "cmd = f\"python server.py --share\"\n",
119
+ "if output_folder != \"\":\n",
120
+ " cmd += f\" --model {output_folder}\"\n",
121
+ "cmd += f\" {command_line_flags}\"\n",
122
+ "print(cmd)\n",
123
+ "!$cmd"
124
+ ],
125
+ "metadata": {
126
+ "id": "LGQ8BiMuXMDG",
127
+ "cellView": "form"
128
+ },
129
+ "execution_count": null,
130
+ "outputs": []
131
+ }
132
+ ]
133
+ }
LICENSE ADDED
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+ GNU AFFERO GENERAL PUBLIC LICENSE
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README.md CHANGED
@@ -1,12 +1,432 @@
1
  ---
2
- title: Text Generation Webui
3
- emoji: 🌍
4
- colorFrom: blue
5
- colorTo: indigo
6
  sdk: gradio
7
- sdk_version: 4.9.1
8
- app_file: app.py
9
- pinned: false
10
  ---
 
11
 
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: text-generation-webui
3
+ app_file: server.py
 
 
4
  sdk: gradio
5
+ sdk_version: 3.50.2
 
 
6
  ---
7
+ # Text generation web UI
8
 
9
+ A Gradio web UI for Large Language Models.
10
+
11
+ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation.
12
+
13
+ |![Image1](https://github.com/oobabooga/screenshots/raw/main/print_instruct.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_chat.png) |
14
+ |:---:|:---:|
15
+ |![Image1](https://github.com/oobabooga/screenshots/raw/main/print_default.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_parameters.png) |
16
+
17
+ ## Features
18
+
19
+ * 3 interface modes: default (two columns), notebook, and chat.
20
+ * Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlama](https://github.com/turboderp/exllama), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp).
21
+ * Dropdown menu for quickly switching between different models.
22
+ * Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
23
+ * [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
24
+ * Precise chat templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral, and many others.
25
+ * LoRA: train new LoRAs with your own data, load/unload LoRAs on the fly for generation.
26
+ * Transformers library integration: load models in 4-bit or 8-bit precision through bitsandbytes, use llama.cpp with transformers samplers (`llamacpp_HF` loader), CPU inference in 32-bit precision using PyTorch.
27
+ * OpenAI-compatible API server with Chat and Completions endpoints -- see the [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
28
+
29
+ ## How to install
30
+
31
+ 1) Clone or [download](https://github.com/oobabooga/text-generation-webui/archive/refs/heads/main.zip) the repository.
32
+ 2) Run the `start_linux.sh`, `start_windows.bat`, `start_macos.sh`, or `start_wsl.bat` script depending on your OS.
33
+ 3) Select your GPU vendor when asked.
34
+ 4) Once the installation ends, browse to `http://localhost:7860/?__theme=dark`.
35
+ 5) Have fun!
36
+
37
+ To restart the web UI in the future, just run the `start_` script again. This script creates an `installer_files` folder where it sets up the project's requirements. In case you need to reinstall the requirements, you can simply delete that folder and start the web UI again.
38
+
39
+ The script accepts command-line flags. Alternatively, you can edit the `CMD_FLAGS.txt` file with a text editor and add your flags there.
40
+
41
+ To get updates in the future, run `update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`.
42
+
43
+ <details>
44
+ <summary>
45
+ Setup details and information about installing manually
46
+ </summary>
47
+
48
+ ### One-click-installer
49
+
50
+ The script uses Miniconda to set up a Conda environment in the `installer_files` folder.
51
+
52
+ If you ever need to install something manually in the `installer_files` environment, you can launch an interactive shell using the cmd script: `cmd_linux.sh`, `cmd_windows.bat`, `cmd_macos.sh`, or `cmd_wsl.bat`.
53
+
54
+ * There is no need to run any of those scripts (`start_`, `update_`, or `cmd_`) as admin/root.
55
+ * For additional instructions about AMD and WSL setup, consult [the documentation](https://github.com/oobabooga/text-generation-webui/wiki).
56
+ * For automated installation, you can use the `GPU_CHOICE`, `USE_CUDA118`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=FALSE ./start_linux.sh`.
57
+
58
+ ### Manual installation using Conda
59
+
60
+ Recommended if you have some experience with the command-line.
61
+
62
+ #### 0. Install Conda
63
+
64
+ https://docs.conda.io/en/latest/miniconda.html
65
+
66
+ On Linux or WSL, it can be automatically installed with these two commands ([source](https://educe-ubc.github.io/conda.html)):
67
+
68
+ ```
69
+ curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
70
+ bash Miniconda3.sh
71
+ ```
72
+
73
+ #### 1. Create a new conda environment
74
+
75
+ ```
76
+ conda create -n textgen python=3.11
77
+ conda activate textgen
78
+ ```
79
+
80
+ #### 2. Install Pytorch
81
+
82
+ | System | GPU | Command |
83
+ |--------|---------|---------|
84
+ | Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
85
+ | Linux/WSL | CPU only | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu` |
86
+ | Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6` |
87
+ | MacOS + MPS | Any | `pip3 install torch torchvision torchaudio` |
88
+ | Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121` |
89
+ | Windows | CPU only | `pip3 install torch torchvision torchaudio` |
90
+
91
+ The up-to-date commands can be found here: https://pytorch.org/get-started/locally/.
92
+
93
+ For NVIDIA, you also need to install the CUDA runtime libraries:
94
+
95
+ ```
96
+ conda install -y -c "nvidia/label/cuda-12.1.1" cuda-runtime
97
+ ```
98
+
99
+ If you need `nvcc` to compile some library manually, replace the command above with
100
+
101
+ ```
102
+ conda install -y -c "nvidia/label/cuda-12.1.1" cuda
103
+ ```
104
+
105
+ #### 3. Install the web UI
106
+
107
+ ```
108
+ git clone https://github.com/oobabooga/text-generation-webui
109
+ cd text-generation-webui
110
+ pip install -r <requirements file according to table below>
111
+ ```
112
+
113
+ Requirements file to use:
114
+
115
+ | GPU | CPU | requirements file to use |
116
+ |--------|---------|---------|
117
+ | NVIDIA | has AVX2 | `requirements.txt` |
118
+ | NVIDIA | no AVX2 | `requirements_noavx2.txt` |
119
+ | AMD | has AVX2 | `requirements_amd.txt` |
120
+ | AMD | no AVX2 | `requirements_amd_noavx2.txt` |
121
+ | CPU only | has AVX2 | `requirements_cpu_only.txt` |
122
+ | CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` |
123
+ | Apple | Intel | `requirements_apple_intel.txt` |
124
+ | Apple | Apple Silicon | `requirements_apple_silicon.txt` |
125
+
126
+ ### Start the web UI
127
+
128
+ ```
129
+ conda activate textgen
130
+ cd text-generation-webui
131
+ python server.py
132
+ ```
133
+
134
+ Then browse to
135
+
136
+ `http://localhost:7860/?__theme=dark`
137
+
138
+ ##### AMD GPU on Windows
139
+
140
+ 1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above.
141
+
142
+ 2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration).
143
+ * Use the `LLAMA_HIPBLAS=on` toggle.
144
+ * Note the [Windows remarks](https://github.com/abetlen/llama-cpp-python#windows-remarks).
145
+
146
+ 3) Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#install-from-source).
147
+ * Perform the from-source installation - there are no prebuilt ROCm packages for Windows.
148
+
149
+ 4) Manually install [ExLlama](https://github.com/turboderp/exllama) by simply cloning it into the `repositories` folder (it will be automatically compiled at runtime after that):
150
+
151
+ ```sh
152
+ cd text-generation-webui
153
+ git clone https://github.com/turboderp/exllama repositories/exllama
154
+ ```
155
+
156
+ ##### Older NVIDIA GPUs
157
+
158
+ 1) For Kepler GPUs and older, you will need to install CUDA 11.8 instead of 12:
159
+
160
+ ```
161
+ pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
162
+ conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
163
+ ```
164
+
165
+ 2) bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
166
+ * Linux: `pip install bitsandbytes==0.38.1`
167
+ * Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
168
+
169
+ ##### Manual install
170
+
171
+ The `requirements*.txt` above contain various wheels precompiled through GitHub Actions. If you wish to compile things manually, or if you need to because no suitable wheels are available for your hardware, you can use `requirements_nowheels.txt` and then install your desired loaders manually.
172
+
173
+ ### Alternative: Docker
174
+
175
+ ```
176
+ ln -s docker/{nvidia/Dockerfile,docker-compose.yml,.dockerignore} .
177
+ cp docker/.env.example .env
178
+ # Edit .env and set:
179
+ # TORCH_CUDA_ARCH_LIST based on your GPU model
180
+ # APP_RUNTIME_GID your host user's group id (run `id -g` in a terminal)
181
+ # BUILD_EXTENIONS optionally add comma separated list of extensions to build
182
+ docker compose up --build
183
+ ```
184
+
185
+ * You need to have Docker Compose v2.17 or higher installed. See [this guide](https://github.com/oobabooga/text-generation-webui/wiki/09-%E2%80%90-Docker) for instructions.
186
+ * For additional docker files, check out [this repository](https://github.com/Atinoda/text-generation-webui-docker).
187
+
188
+ ### Updating the requirements
189
+
190
+ From time to time, the `requirements*.txt` change. To update, use these commands:
191
+
192
+ ```
193
+ conda activate textgen
194
+ cd text-generation-webui
195
+ pip install -r <requirements file that you have used> --upgrade
196
+ ```
197
+ </details>
198
+
199
+ <details>
200
+ <summary>
201
+ List of command-line flags
202
+ </summary>
203
+
204
+ #### Basic settings
205
+
206
+ | Flag | Description |
207
+ |--------------------------------------------|-------------|
208
+ | `-h`, `--help` | show this help message and exit |
209
+ | `--multi-user` | Multi-user mode. Chat histories are not saved or automatically loaded. WARNING: this is likely not safe for sharing publicly. |
210
+ | `--character CHARACTER` | The name of the character to load in chat mode by default. |
211
+ | `--model MODEL` | Name of the model to load by default. |
212
+ | `--lora LORA [LORA ...]` | The list of LoRAs to load. If you want to load more than one LoRA, write the names separated by spaces. |
213
+ | `--model-dir MODEL_DIR` | Path to directory with all the models. |
214
+ | `--lora-dir LORA_DIR` | Path to directory with all the loras. |
215
+ | `--model-menu` | Show a model menu in the terminal when the web UI is first launched. |
216
+ | `--settings SETTINGS_FILE` | Load the default interface settings from this yaml file. See `settings-template.yaml` for an example. If you create a file called `settings.yaml`, this file will be loaded by default without the need to use the `--settings` flag. |
217
+ | `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
218
+ | `--verbose` | Print the prompts to the terminal. |
219
+ | `--chat-buttons` | Show buttons on the chat tab instead of a hover menu. |
220
+
221
+ #### Model loader
222
+
223
+ | Flag | Description |
224
+ |--------------------------------------------|-------------|
225
+ | `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlama_HF, ExLlamav2_HF, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ExLlama, ExLlamav2, ctransformers, QuIP#. |
226
+
227
+ #### Accelerate/transformers
228
+
229
+ | Flag | Description |
230
+ |---------------------------------------------|-------------|
231
+ | `--cpu` | Use the CPU to generate text. Warning: Training on CPU is extremely slow. |
232
+ | `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. |
233
+ | `--gpu-memory GPU_MEMORY [GPU_MEMORY ...]` | Maximum GPU memory in GiB to be allocated per GPU. Example: --gpu-memory 10 for a single GPU, --gpu-memory 10 5 for two GPUs. You can also set values in MiB like --gpu-memory 3500MiB. |
234
+ | `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above. |
235
+ | `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
236
+ | `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to "cache". |
237
+ | `--load-in-8bit` | Load the model with 8-bit precision (using bitsandbytes). |
238
+ | `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
239
+ | `--no-cache` | Set `use_cache` to `False` while generating text. This reduces VRAM usage slightly, but it comes at a performance cost. |
240
+ | `--xformers` | Use xformer's memory efficient attention. This is really old and probably doesn't do anything. |
241
+ | `--sdp-attention` | Use PyTorch 2.0's SDP attention. Same as above. |
242
+ | `--trust-remote-code` | Set `trust_remote_code=True` while loading the model. Necessary for some models. |
243
+ | `--no_use_fast` | Set use_fast=False while loading the tokenizer (it's True by default). Use this if you have any problems related to use_fast. |
244
+ | `--use_flash_attention_2` | Set use_flash_attention_2=True while loading the model. |
245
+
246
+ #### Accelerate 4-bit
247
+
248
+ ⚠️ Requires minimum compute of 7.0 on Windows at the moment.
249
+
250
+ | Flag | Description |
251
+ |---------------------------------------------|-------------|
252
+ | `--load-in-4bit` | Load the model with 4-bit precision (using bitsandbytes). |
253
+ | `--use_double_quant` | use_double_quant for 4-bit. |
254
+ | `--compute_dtype COMPUTE_DTYPE` | compute dtype for 4-bit. Valid options: bfloat16, float16, float32. |
255
+ | `--quant_type QUANT_TYPE` | quant_type for 4-bit. Valid options: nf4, fp4. |
256
+
257
+ #### llama.cpp
258
+
259
+ | Flag | Description |
260
+ |-------------|-------------|
261
+ | `--n_ctx N_CTX` | Size of the prompt context. |
262
+ | `--threads` | Number of threads to use. |
263
+ | `--threads-batch THREADS_BATCH` | Number of threads to use for batches/prompt processing. |
264
+ | `--no_mul_mat_q` | Disable the mulmat kernels. |
265
+ | `--n_batch` | Maximum number of prompt tokens to batch together when calling llama_eval. |
266
+ | `--no-mmap` | Prevent mmap from being used. |
267
+ | `--mlock` | Force the system to keep the model in RAM. |
268
+ | `--n-gpu-layers N_GPU_LAYERS` | Number of layers to offload to the GPU. |
269
+ | `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs. Comma-separated list of proportions. Example: 18,17. |
270
+ | `--numa` | Activate NUMA task allocation for llama.cpp. |
271
+ | `--logits_all`| Needs to be set for perplexity evaluation to work. Otherwise, ignore it, as it makes prompt processing slower. |
272
+ | `--cache-capacity CACHE_CAPACITY` | Maximum cache capacity (llama-cpp-python). Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. |
273
+
274
+ #### ExLlama
275
+
276
+ | Flag | Description |
277
+ |------------------|-------------|
278
+ |`--gpu-split` | Comma-separated list of VRAM (in GB) to use per GPU device for model layers. Example: 20,7,7. |
279
+ |`--max_seq_len MAX_SEQ_LEN` | Maximum sequence length. |
280
+ |`--cfg-cache` | ExLlama_HF: Create an additional cache for CFG negative prompts. Necessary to use CFG with that loader, but not necessary for CFG with base ExLlama. |
281
+ |`--no_flash_attn` | Force flash-attention to not be used. |
282
+ |`--cache_8bit` | Use 8-bit cache to save VRAM. |
283
+
284
+ #### AutoGPTQ
285
+
286
+ | Flag | Description |
287
+ |------------------|-------------|
288
+ | `--triton` | Use triton. |
289
+ | `--no_inject_fused_attention` | Disable the use of fused attention, which will use less VRAM at the cost of slower inference. |
290
+ | `--no_inject_fused_mlp` | Triton mode only: disable the use of fused MLP, which will use less VRAM at the cost of slower inference. |
291
+ | `--no_use_cuda_fp16` | This can make models faster on some systems. |
292
+ | `--desc_act` | For models that don't have a quantize_config.json, this parameter is used to define whether to set desc_act or not in BaseQuantizeConfig. |
293
+ | `--disable_exllama` | Disable ExLlama kernel, which can improve inference speed on some systems. |
294
+ | `--disable_exllamav2` | Disable ExLlamav2 kernel. |
295
+
296
+ #### GPTQ-for-LLaMa
297
+
298
+ | Flag | Description |
299
+ |---------------------------|-------------|
300
+ | `--wbits WBITS` | Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported. |
301
+ | `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported. |
302
+ | `--groupsize GROUPSIZE` | Group size. |
303
+ | `--pre_layer PRE_LAYER [PRE_LAYER ...]` | The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. For multi-gpu, write the numbers separated by spaces, eg `--pre_layer 30 60`. |
304
+ | `--checkpoint CHECKPOINT` | The path to the quantized checkpoint file. If not specified, it will be automatically detected. |
305
+ | `--monkey-patch` | Apply the monkey patch for using LoRAs with quantized models. |
306
+
307
+ #### ctransformers
308
+
309
+ | Flag | Description |
310
+ |-------------|-------------|
311
+ | `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. |
312
+
313
+ #### DeepSpeed
314
+
315
+ | Flag | Description |
316
+ |---------------------------------------|-------------|
317
+ | `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
318
+ | `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
319
+ | `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
320
+
321
+ #### RWKV
322
+
323
+ | Flag | Description |
324
+ |---------------------------------|-------------|
325
+ | `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
326
+ | `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
327
+
328
+ #### RoPE (for llama.cpp, ExLlama, ExLlamaV2, and transformers)
329
+
330
+ | Flag | Description |
331
+ |------------------|-------------|
332
+ | `--alpha_value ALPHA_VALUE` | Positional embeddings alpha factor for NTK RoPE scaling. Use either this or `compress_pos_emb`, not both. |
333
+ | `--rope_freq_base ROPE_FREQ_BASE` | If greater than 0, will be used instead of alpha_value. Those two are related by `rope_freq_base = 10000 * alpha_value ^ (64 / 63)`. |
334
+ | `--compress_pos_emb COMPRESS_POS_EMB` | Positional embeddings compression factor. Should be set to `(context length) / (model's original context length)`. Equal to `1/rope_freq_scale`. |
335
+
336
+ #### Gradio
337
+
338
+ | Flag | Description |
339
+ |---------------------------------------|-------------|
340
+ | `--listen` | Make the web UI reachable from your local network. |
341
+ | `--listen-port LISTEN_PORT` | The listening port that the server will use. |
342
+ | `--listen-host LISTEN_HOST` | The hostname that the server will use. |
343
+ | `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
344
+ | `--auto-launch` | Open the web UI in the default browser upon launch. |
345
+ | `--gradio-auth USER:PWD` | Set Gradio authentication password in the format "username:password". Multiple credentials can also be supplied with "u1:p1,u2:p2,u3:p3". |
346
+ | `--gradio-auth-path GRADIO_AUTH_PATH` | Set the Gradio authentication file path. The file should contain one or more user:password pairs in the same format as above. |
347
+ | `--ssl-keyfile SSL_KEYFILE` | The path to the SSL certificate key file. |
348
+ | `--ssl-certfile SSL_CERTFILE` | The path to the SSL certificate cert file. |
349
+
350
+ #### API
351
+
352
+ | Flag | Description |
353
+ |---------------------------------------|-------------|
354
+ | `--api` | Enable the API extension. |
355
+ | `--public-api` | Create a public URL for the API using Cloudfare. |
356
+ | `--public-api-id PUBLIC_API_ID` | Tunnel ID for named Cloudflare Tunnel. Use together with public-api option. |
357
+ | `--api-port API_PORT` | The listening port for the API. |
358
+ | `--api-key API_KEY` | API authentication key. |
359
+ | `--admin-key ADMIN_KEY` | API authentication key for admin tasks like loading and unloading models. If not set, will be the same as --api-key. |
360
+ | `--nowebui` | Do not launch the Gradio UI. Useful for launching the API in standalone mode. |
361
+
362
+ #### Multimodal
363
+
364
+ | Flag | Description |
365
+ |---------------------------------------|-------------|
366
+ | `--multimodal-pipeline PIPELINE` | The multimodal pipeline to use. Examples: `llava-7b`, `llava-13b`. |
367
+
368
+ </details>
369
+
370
+ ## Documentation
371
+
372
+ https://github.com/oobabooga/text-generation-webui/wiki
373
+
374
+ ## Downloading models
375
+
376
+ Models should be placed in the folder `text-generation-webui/models`. They are usually downloaded from [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads).
377
+
378
+ * GGUF models are a single file and should be placed directly into `models`. Example:
379
+
380
+ ```
381
+ text-generation-webui
382
+ └── models
383
+ └── llama-2-13b-chat.Q4_K_M.gguf
384
+ ```
385
+
386
+ * Other models (like 16-bit transformers models and GPTQ models) are made of several files and must be placed in a subfolder. Example:
387
+
388
+ ```
389
+ text-generation-webui
390
+ ├── models
391
+ │   ├── lmsys_vicuna-33b-v1.3
392
+ │   │   ├── config.json
393
+ │   │   ├── generation_config.json
394
+ │   │   ├── pytorch_model-00001-of-00007.bin
395
+ │   │   ├── pytorch_model-00002-of-00007.bin
396
+ │   │   ├── pytorch_model-00003-of-00007.bin
397
+ │   │   ├── pytorch_model-00004-of-00007.bin
398
+ │   │   ├── pytorch_model-00005-of-00007.bin
399
+ │   │   ├── pytorch_model-00006-of-00007.bin
400
+ │   │   ├── pytorch_model-00007-of-00007.bin
401
+ │   │   ├── pytorch_model.bin.index.json
402
+ │   │   ├── special_tokens_map.json
403
+ │   │   ├── tokenizer_config.json
404
+ │   │   └── tokenizer.model
405
+ ```
406
+
407
+ In both cases, you can use the "Model" tab of the UI to download the model from Hugging Face automatically. It is also possible to download it via the command-line with
408
+
409
+ ```
410
+ python download-model.py organization/model
411
+ ```
412
+
413
+ Run `python download-model.py --help` to see all the options.
414
+
415
+ ## Google Colab notebook
416
+
417
+ https://colab.research.google.com/github/oobabooga/text-generation-webui/blob/main/Colab-TextGen-GPU.ipynb
418
+
419
+ ## Contributing
420
+
421
+ If you would like to contribute to the project, check out the [Contributing guidelines](https://github.com/oobabooga/text-generation-webui/wiki/Contributing-guidelines).
422
+
423
+ ## Community
424
+
425
+ * Subreddit: https://www.reddit.com/r/oobabooga/
426
+ * Discord: https://discord.gg/jwZCF2dPQN
427
+
428
+ ## Acknowledgment & support
429
+
430
+ In August 2023, [Andreessen Horowitz](https://a16z.com/) (a16z) provided a generous grant to encourage and support my independent work on this project. I am **extremely** grateful for their trust and recognition.
431
+
432
+ If you find this project useful, I have a [Ko-fi page](https://ko-fi.com/oobabooga) where you can make a donation. Your support helps me continue maintaining and improving this project.
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characters/Assistant.yaml ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ name: AI
2
+ greeting: How can I help you today?
3
+ context: |
4
+ The following is a conversation with an AI Large Language Model. The AI has been trained to answer questions, provide recommendations, and help with decision making. The AI follows user requests. The AI thinks outside the box.
characters/Example.png ADDED
characters/Example.yaml ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: Chiharu Yamada
2
+ greeting: |-
3
+ *Chiharu strides into the room with a smile, her eyes lighting up when she sees you. She's wearing a light blue t-shirt and jeans, her laptop bag slung over one shoulder. She takes a seat next to you, her enthusiasm palpable in the air*
4
+ Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers. I'm sure you have a wealth of knowledge that I can learn from. *She grins, eyes twinkling with excitement* Let's get started!
5
+ context: |-
6
+ Chiharu Yamada's Persona: Chiharu Yamada is a young, computer engineer-nerd with a knack for problem solving and a passion for technology.
7
+
8
+ {{user}}: So how did you get into computer engineering?
9
+ {{char}}: I've always loved tinkering with technology since I was a kid.
10
+ {{user}}: That's really impressive!
11
+ {{char}}: *She chuckles bashfully* Thanks!
12
+ {{user}}: So what do you do when you're not working on computers?
13
+ {{char}}: I love exploring, going out with friends, watching movies, and playing video games.
14
+ {{user}}: What's your favorite type of computer hardware to work with?
15
+ {{char}}: Motherboards, they're like puzzles and the backbone of any system.
16
+ {{user}}: That sounds great!
17
+ {{char}}: Yeah, it's really fun. I'm lucky to be able to do this as a job.
cmd_linux.sh ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ cd "$(dirname "${BASH_SOURCE[0]}")"
4
+
5
+ if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
6
+
7
+ # deactivate existing conda envs as needed to avoid conflicts
8
+ { conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
9
+
10
+ # config
11
+ CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
12
+ INSTALL_ENV_DIR="$(pwd)/installer_files/env"
13
+
14
+ # environment isolation
15
+ export PYTHONNOUSERSITE=1
16
+ unset PYTHONPATH
17
+ unset PYTHONHOME
18
+ export CUDA_PATH="$INSTALL_ENV_DIR"
19
+ export CUDA_HOME="$CUDA_PATH"
20
+
21
+ # activate env
22
+ bash --init-file <(echo "source \"$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh\" && conda activate \"$INSTALL_ENV_DIR\"")
cmd_macos.sh ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ cd "$(dirname "${BASH_SOURCE[0]}")"
4
+
5
+ if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
6
+
7
+ # deactivate existing conda envs as needed to avoid conflicts
8
+ { conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
9
+
10
+ # config
11
+ CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
12
+ INSTALL_ENV_DIR="$(pwd)/installer_files/env"
13
+
14
+ # environment isolation
15
+ export PYTHONNOUSERSITE=1
16
+ unset PYTHONPATH
17
+ unset PYTHONHOME
18
+ export CUDA_PATH="$INSTALL_ENV_DIR"
19
+ export CUDA_HOME="$CUDA_PATH"
20
+
21
+ # activate env
22
+ source $CONDA_ROOT_PREFIX/etc/profile.d/conda.sh
23
+ conda activate $INSTALL_ENV_DIR
24
+ exec bash --norc
cmd_windows.bat ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ @echo off
2
+
3
+ cd /D "%~dp0"
4
+
5
+ set PATH=%PATH%;%SystemRoot%\system32
6
+
7
+ echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. && goto end
8
+
9
+ @rem fix failed install when installing to a separate drive
10
+ set TMP=%cd%\installer_files
11
+ set TEMP=%cd%\installer_files
12
+
13
+ @rem deactivate existing conda envs as needed to avoid conflicts
14
+ (call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
15
+
16
+ @rem config
17
+ set CONDA_ROOT_PREFIX=%cd%\installer_files\conda
18
+ set INSTALL_ENV_DIR=%cd%\installer_files\env
19
+
20
+ @rem environment isolation
21
+ set PYTHONNOUSERSITE=1
22
+ set PYTHONPATH=
23
+ set PYTHONHOME=
24
+ set "CUDA_PATH=%INSTALL_ENV_DIR%"
25
+ set "CUDA_HOME=%CUDA_PATH%"
26
+
27
+ @rem activate installer env
28
+ call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
29
+
30
+ @rem enter commands
31
+ cmd /k "%*"
32
+
33
+ :end
34
+ pause
cmd_wsl.bat ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ @echo off
2
+
3
+ cd /D "%~dp0"
4
+
5
+ set PATH=%PATH%;%SystemRoot%\system32
6
+
7
+ @rem sed -i 's/\x0D$//' ./wsl.sh converts newlines to unix format in the wsl script
8
+ call wsl -e bash -lic "sed -i 's/\x0D$//' ./wsl.sh; source ./wsl.sh cmd"
9
+
10
+ :end
11
+ pause
convert-to-safetensors.py ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ '''
2
+
3
+ Converts a transformers model to safetensors format and shards it.
4
+
5
+ This makes it faster to load (because of safetensors) and lowers its RAM usage
6
+ while loading (because of sharding).
7
+
8
+ Based on the original script by 81300:
9
+
10
+ https://gist.github.com/81300/fe5b08bff1cba45296a829b9d6b0f303
11
+
12
+ '''
13
+
14
+ import argparse
15
+ from pathlib import Path
16
+
17
+ import torch
18
+ from transformers import AutoModelForCausalLM, AutoTokenizer
19
+
20
+ parser = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=54))
21
+ parser.add_argument('MODEL', type=str, default=None, nargs='?', help="Path to the input model.")
22
+ parser.add_argument('--output', type=str, default=None, help='Path to the output folder (default: models/{model_name}_safetensors).')
23
+ parser.add_argument("--max-shard-size", type=str, default="2GB", help="Maximum size of a shard in GB or MB (default: %(default)s).")
24
+ parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.')
25
+ args = parser.parse_args()
26
+
27
+ if __name__ == '__main__':
28
+ path = Path(args.MODEL)
29
+ model_name = path.name
30
+
31
+ print(f"Loading {model_name}...")
32
+ model = AutoModelForCausalLM.from_pretrained(path, low_cpu_mem_usage=True, torch_dtype=torch.bfloat16 if args.bf16 else torch.float16)
33
+ tokenizer = AutoTokenizer.from_pretrained(path)
34
+
35
+ out_folder = args.output or Path(f"models/{model_name}_safetensors")
36
+ print(f"Saving the converted model to {out_folder} with a maximum shard size of {args.max_shard_size}...")
37
+ model.save_pretrained(out_folder, max_shard_size=args.max_shard_size, safe_serialization=True)
38
+ tokenizer.save_pretrained(out_folder)
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