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  1. text-generation-webui-snapshot-2023-10-15/.github/FUNDING.yml +0 -1
  2. text-generation-webui-snapshot-2023-10-15/.github/ISSUE_TEMPLATE/bug_report_template.yml +0 -53
  3. text-generation-webui-snapshot-2023-10-15/.github/ISSUE_TEMPLATE/feature_request.md +0 -16
  4. text-generation-webui-snapshot-2023-10-15/.github/dependabot.yml +0 -11
  5. text-generation-webui-snapshot-2023-10-15/.github/pull_request_template.md +0 -3
  6. text-generation-webui-snapshot-2023-10-15/.github/workflows/auto-release.yml +0 -28
  7. text-generation-webui-snapshot-2023-10-15/.github/workflows/stale.yml +0 -22
  8. text-generation-webui-snapshot-2023-10-15/.gitignore +0 -38
  9. text-generation-webui-snapshot-2023-10-15/CMD_FLAGS.txt +0 -3
  10. text-generation-webui-snapshot-2023-10-15/LICENSE +0 -661
  11. text-generation-webui-snapshot-2023-10-15/README.md +0 -421
  12. text-generation-webui-snapshot-2023-10-15/api-examples/api-example-chat-stream.py +0 -112
  13. text-generation-webui-snapshot-2023-10-15/api-examples/api-example-chat.py +0 -92
  14. text-generation-webui-snapshot-2023-10-15/api-examples/api-example-model.py +0 -176
  15. text-generation-webui-snapshot-2023-10-15/api-examples/api-example-stream.py +0 -86
  16. text-generation-webui-snapshot-2023-10-15/api-examples/api-example.py +0 -63
  17. text-generation-webui-snapshot-2023-10-15/characters/Assistant.yaml +0 -4
  18. text-generation-webui-snapshot-2023-10-15/characters/Example.png +0 -0
  19. text-generation-webui-snapshot-2023-10-15/characters/Example.yaml +0 -17
  20. text-generation-webui-snapshot-2023-10-15/cmd_linux.sh +0 -22
  21. text-generation-webui-snapshot-2023-10-15/cmd_macos.sh +0 -24
  22. text-generation-webui-snapshot-2023-10-15/cmd_windows.bat +0 -34
  23. text-generation-webui-snapshot-2023-10-15/cmd_wsl.bat +0 -11
  24. text-generation-webui-snapshot-2023-10-15/convert-to-safetensors.py +0 -38
  25. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Black.woff +0 -0
  26. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Black.woff2 +0 -0
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  29. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Bold.woff +0 -0
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  37. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-ExtraLight.woff +0 -0
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  39. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-ExtraLightItalic.woff +0 -0
  40. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-ExtraLightItalic.woff2 +0 -0
  41. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Italic.woff +0 -0
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  43. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Light.woff +0 -0
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  45. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-LightItalic.woff +0 -0
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  47. text-generation-webui-snapshot-2023-10-15/css/NotoSans/NotoSans-Medium.woff +0 -0
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text-generation-webui-snapshot-2023-10-15/.github/FUNDING.yml DELETED
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- ko_fi: oobabooga
 
 
text-generation-webui-snapshot-2023-10-15/.github/ISSUE_TEMPLATE/bug_report_template.yml DELETED
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- name: "Bug report"
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- required: true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/.github/ISSUE_TEMPLATE/feature_request.md DELETED
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- ---
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- name: Feature request
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- about: Suggest an improvement or new feature for the web UI
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- title: ''
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- labels: 'enhancement'
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- assignees: ''
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-
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- ---
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-
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- **Description**
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- A clear and concise description of what you want to be implemented.
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-
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- **Additional Context**
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- # To get started with Dependabot version updates, you'll need to specify which
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- # Please see the documentation for all configuration options:
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- version: 2
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- updates:
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- - package-ecosystem: "pip" # See documentation for possible values
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- directory: "/" # Location of package manifests
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- schedule:
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- interval: "weekly"
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Checklist:
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-
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- - [ ] I have read the [Contributing guidelines](https://github.com/oobabooga/text-generation-webui/wiki/Contributing-guidelines).
 
 
 
 
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- name: Weekly Snapshot Release
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- on:
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- - cron: '15 20 * * 0'
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- workflow_dispatch: {}
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-
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- jobs:
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- create_release:
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- runs-on: ubuntu-latest
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- steps:
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- - name: Checkout code
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- uses: actions/checkout@v2
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-
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- - name: Set snapshot tag
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- id: set_snapshot_tag
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- run: echo ::set-output name=tag::snapshot-$(date +'%Y-%m-%d')
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- - name: Create release
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- id: create_release
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- uses: softprops/action-gh-release@v1
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- with:
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- generate_release_notes: true
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- tag_name: ${{ steps.set_snapshot_tag.outputs.tag }}
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- name: ${{ steps.set_snapshot_tag.outputs.tag }}
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- draft: false
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- prerelease: false
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- env:
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- GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- name: Close inactive issues
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- - cron: "10 23 * * *"
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- days-before-pr-stale: -1
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- days-before-pr-close: -1
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- repo-token: ${{ secrets.GITHUB_TOKEN }}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- cache
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- characters
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- training/datasets
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- extensions/silero_tts/outputs
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- extensions/elevenlabs_tts/outputs
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- extensions/sd_api_pictures/outputs
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- extensions/multimodal/pipelines
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- logs
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- loras
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- models
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- presets
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- repositories
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- softprompts
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- torch-dumps
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- *pycache*
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- */*pycache*
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- */*/pycache*
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- .idea/
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- *.bak
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- *.ipynb
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- *.log
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-
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- settings.json
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- settings.yaml
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- notification.mp3
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- img_bot*
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- img_me*
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- prompts/[0-9]*
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- models/config-user.yaml
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-
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- .DS_Store
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- Thumbs.db
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- .chroma
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- installer_files
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- /CMD_FLAGS.txt
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Only used by the one-click installer.
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- # Example:
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- # --listen --api
 
 
 
 
text-generation-webui-snapshot-2023-10-15/LICENSE DELETED
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- GNU AFFERO GENERAL PUBLIC LICENSE
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619
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621
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623
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624
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629
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text-generation-webui-snapshot-2023-10-15/README.md DELETED
@@ -1,421 +0,0 @@
1
- # Text generation web UI
2
-
3
- A Gradio web UI for Large Language Models.
4
-
5
- Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) of text generation.
6
-
7
- |![Image1](https://github.com/oobabooga/screenshots/raw/main/print_instruct.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_chat.png) |
8
- |:---:|:---:|
9
- |![Image1](https://github.com/oobabooga/screenshots/raw/main/print_default.png) | ![Image2](https://github.com/oobabooga/screenshots/raw/main/print_parameters.png) |
10
-
11
- ## Features
12
-
13
- * 3 interface modes: default (two columns), notebook, and chat
14
- * Multiple model backends: [transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp), [ExLlama](https://github.com/turboderp/exllama), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ)
15
- * Dropdown menu for quickly switching between different models
16
- * LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA
17
- * Precise instruction templates for chat mode, including Llama-2-chat, Alpaca, Vicuna, WizardLM, StableLM, and many others
18
- * 4-bit, 8-bit, and CPU inference through the transformers library
19
- * Use llama.cpp models with transformers samplers (`llamacpp_HF` loader)
20
- * [Multimodal pipelines, including LLaVA and MiniGPT-4](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal)
21
- * [Extensions framework](docs/Extensions.md)
22
- * [Custom chat characters](docs/Chat-mode.md)
23
- * Very efficient text streaming
24
- * Markdown output with LaTeX rendering, to use for instance with [GALACTICA](https://github.com/paperswithcode/galai)
25
- * API, including endpoints for websocket streaming ([see the examples](https://github.com/oobabooga/text-generation-webui/blob/main/api-examples))
26
-
27
- To learn how to use the various features, check out the Documentation: https://github.com/oobabooga/text-generation-webui/tree/main/docs
28
-
29
- ## Installation
30
-
31
- ### One-click installers
32
-
33
- 1) Clone or download the repository.
34
- 2) Run the `start_linux.sh`, `start_windows.bat`, `start_macos.sh`, or `start_wsl.bat` script depending on your OS.
35
- 3) Select your GPU vendor when asked.
36
- 4) Have fun!
37
-
38
- #### How it works
39
-
40
- The script creates a folder called `installer_files` where it sets up a Conda environment using Miniconda. The installation is self-contained: if you want to reinstall, just delete `installer_files` and run the start script again.
41
-
42
- To launch the webui in the future after it is already installed, run the same `start` script.
43
-
44
- #### Getting updates
45
-
46
- Run `update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`.
47
-
48
- #### Running commands
49
-
50
- 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`.
51
-
52
- #### Defining command-line flags
53
-
54
- To define persistent command-line flags like `--listen` or `--api`, edit the `CMD_FLAGS.txt` file with a text editor and add them there. Flags can also be provided directly to the start scripts, for instance, `./start-linux.sh --listen`.
55
-
56
- #### Other info
57
-
58
- * There is no need to run any of those scripts as admin/root.
59
- * For additional instructions about AMD setup, WSL setup, and nvcc installation, consult [this page](https://github.com/oobabooga/text-generation-webui/blob/main/docs/One-Click-Installers.md).
60
- * The installer has been tested mostly on NVIDIA GPUs. If you can find a way to improve it for your AMD/Intel Arc/Mac Metal GPU, you are highly encouraged to submit a PR to this repository. The main file to be edited is `one_click.py`.
61
- * For automated installation, you can use the `GPU_CHOICE`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A LAUNCH_AFTER_INSTALL=False INSTALL_EXTENSIONS=False ./start_linux.sh`.
62
-
63
- ### Manual installation using Conda
64
-
65
- Recommended if you have some experience with the command-line.
66
-
67
- #### 0. Install Conda
68
-
69
- https://docs.conda.io/en/latest/miniconda.html
70
-
71
- On Linux or WSL, it can be automatically installed with these two commands ([source](https://educe-ubc.github.io/conda.html)):
72
-
73
- ```
74
- curl -sL "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" > "Miniconda3.sh"
75
- bash Miniconda3.sh
76
- ```
77
-
78
- #### 1. Create a new conda environment
79
-
80
- ```
81
- conda create -n textgen python=3.10
82
- conda activate textgen
83
- ```
84
-
85
- #### 2. Install Pytorch
86
-
87
- | System | GPU | Command |
88
- |--------|---------|---------|
89
- | Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118` |
90
- | Linux/WSL | CPU only | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu` |
91
- | Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6` |
92
- | MacOS + MPS | Any | `pip3 install torch torchvision torchaudio` |
93
- | Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118` |
94
- | Windows | CPU only | `pip3 install torch torchvision torchaudio` |
95
-
96
- The up-to-date commands can be found here: https://pytorch.org/get-started/locally/.
97
-
98
- For NVIDIA, you may also need to manually install the CUDA runtime libraries:
99
-
100
- ```
101
- conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
102
- ```
103
-
104
- #### 3. Install the web UI
105
-
106
- ```
107
- git clone https://github.com/oobabooga/text-generation-webui
108
- cd text-generation-webui
109
- pip install -r requirements.txt
110
- ```
111
-
112
- #### AMD, Metal, Intel Arc, and CPUs without AVX2
113
-
114
- 1) Replace the last command above with
115
-
116
- ```
117
- pip install -r requirements_nowheels.txt
118
- ```
119
-
120
- 2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-from-pypi).
121
-
122
- 3) Do the same for CTransformers: [Installation](https://github.com/marella/ctransformers#installation).
123
-
124
- 4) AMD: Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#installation).
125
-
126
- 5) AMD: 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):
127
-
128
- ```
129
- cd text-generation-webui
130
- git clone https://github.com/turboderp/exllama repositories/exllama
131
- ```
132
-
133
- #### bitsandbytes on older NVIDIA GPUs
134
-
135
- bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
136
-
137
- * Linux: `pip install bitsandbytes==0.38.1`
138
- * Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
139
-
140
- ### Alternative: Docker
141
-
142
- ```
143
- ln -s docker/{Dockerfile,docker-compose.yml,.dockerignore} .
144
- cp docker/.env.example .env
145
- # Edit .env and set TORCH_CUDA_ARCH_LIST based on your GPU model
146
- docker compose up --build
147
- ```
148
-
149
- * You need to have docker compose v2.17 or higher installed. See [this guide](https://github.com/oobabooga/text-generation-webui/blob/main/docs/Docker.md) for instructions.
150
- * For additional docker files, check out [this repository](https://github.com/Atinoda/text-generation-webui-docker).
151
-
152
- ### Updating the requirements
153
-
154
- From time to time, the `requirements.txt` changes. To update, use these commands:
155
-
156
- ```
157
- conda activate textgen
158
- cd text-generation-webui
159
- pip install -r requirements.txt --upgrade
160
- ```
161
-
162
- ## Downloading models
163
-
164
- Models should be placed in the `text-generation-webui/models` folder. They are usually downloaded from [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads).
165
-
166
- * Transformers or GPTQ models are made of several files and must be placed in a subfolder. Example:
167
-
168
- ```
169
- text-generation-webui
170
- ├── models
171
- │   ├── lmsys_vicuna-33b-v1.3
172
- │   │   ├── config.json
173
- │   │   ├── generation_config.json
174
- │   │   ├── pytorch_model-00001-of-00007.bin
175
- │   │   ├── pytorch_model-00002-of-00007.bin
176
- │   │   ├── pytorch_model-00003-of-00007.bin
177
- │   │   ├── pytorch_model-00004-of-00007.bin
178
- │   │   ├── pytorch_model-00005-of-00007.bin
179
- │   │   ├── pytorch_model-00006-of-00007.bin
180
- │   │   ├── pytorch_model-00007-of-00007.bin
181
- │   │   ├── pytorch_model.bin.index.json
182
- │   │   ├── special_tokens_map.json
183
- │   │   ├── tokenizer_config.json
184
- │   │   └── tokenizer.model
185
- ```
186
-
187
- * GGUF models are a single file and should be placed directly into `models`. Example:
188
-
189
- ```
190
- text-generation-webui
191
- ├── models
192
- │   ├── llama-2-13b-chat.Q4_K_M.gguf
193
- ```
194
-
195
- 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 via the command-line with `python download-model.py organization/model` (use `--help` to see all the options).
196
-
197
- #### GPT-4chan
198
-
199
- <details>
200
- <summary>
201
- Instructions
202
- </summary>
203
-
204
- [GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
205
-
206
- * Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model)
207
- * Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/)
208
-
209
- The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version.
210
-
211
- After downloading the model, follow these steps:
212
-
213
- 1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`.
214
- 2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json).
215
- 3. Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):
216
-
217
- ```
218
- python download-model.py EleutherAI/gpt-j-6B --text-only
219
- ```
220
-
221
- When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format:
222
-
223
- ![Image3](https://github.com/oobabooga/screenshots/raw/main/gpt4chan.png)
224
-
225
- </details>
226
-
227
- ## Starting the web UI
228
-
229
- conda activate textgen
230
- cd text-generation-webui
231
- python server.py
232
-
233
- Then browse to
234
-
235
- `http://localhost:7860/?__theme=dark`
236
-
237
- Optionally, you can use the following command-line flags:
238
-
239
- #### Basic settings
240
-
241
- | Flag | Description |
242
- |--------------------------------------------|-------------|
243
- | `-h`, `--help` | Show this help message and exit. |
244
- | `--multi-user` | Multi-user mode. Chat histories are not saved or automatically loaded. WARNING: this is highly experimental. |
245
- | `--character CHARACTER` | The name of the character to load in chat mode by default. |
246
- | `--model MODEL` | Name of the model to load by default. |
247
- | `--lora LORA [LORA ...]` | The list of LoRAs to load. If you want to load more than one LoRA, write the names separated by spaces. |
248
- | `--model-dir MODEL_DIR` | Path to directory with all the models. |
249
- | `--lora-dir LORA_DIR` | Path to directory with all the loras. |
250
- | `--model-menu` | Show a model menu in the terminal when the web UI is first launched. |
251
- | `--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. |
252
- | `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
253
- | `--verbose` | Print the prompts to the terminal. |
254
- | `--chat-buttons` | Show buttons on chat tab instead of hover menu. |
255
-
256
- #### Model loader
257
-
258
- | Flag | Description |
259
- |--------------------------------------------|-------------|
260
- | `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: transformers, autogptq, gptq-for-llama, exllama, exllama_hf, llamacpp, rwkv, ctransformers |
261
-
262
- #### Accelerate/transformers
263
-
264
- | Flag | Description |
265
- |---------------------------------------------|-------------|
266
- | `--cpu` | Use the CPU to generate text. Warning: Training on CPU is extremely slow.|
267
- | `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. |
268
- | `--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`. |
269
- | `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Same as above.|
270
- | `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
271
- | `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. |
272
- | `--load-in-8bit` | Load the model with 8-bit precision (using bitsandbytes).|
273
- | `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
274
- | `--no-cache` | Set `use_cache` to False while generating text. This reduces the VRAM usage a bit with a performance cost. |
275
- | `--xformers` | Use xformer's memory efficient attention. This should increase your tokens/s. |
276
- | `--sdp-attention` | Use torch 2.0's sdp attention. |
277
- | `--trust-remote-code` | Set trust_remote_code=True while loading a model. Necessary for ChatGLM and Falcon. |
278
- | `--use_fast` | Set use_fast=True while loading a tokenizer. |
279
-
280
- #### Accelerate 4-bit
281
-
282
- ⚠️ Requires minimum compute of 7.0 on Windows at the moment.
283
-
284
- | Flag | Description |
285
- |---------------------------------------------|-------------|
286
- | `--load-in-4bit` | Load the model with 4-bit precision (using bitsandbytes). |
287
- | `--compute_dtype COMPUTE_DTYPE` | compute dtype for 4-bit. Valid options: bfloat16, float16, float32. |
288
- | `--quant_type QUANT_TYPE` | quant_type for 4-bit. Valid options: nf4, fp4. |
289
- | `--use_double_quant` | use_double_quant for 4-bit. |
290
-
291
- #### GGUF (for llama.cpp and ctransformers)
292
-
293
- | Flag | Description |
294
- |-------------|-------------|
295
- | `--threads` | Number of threads to use. |
296
- | `--threads-batch THREADS_BATCH` | Number of threads to use for batches/prompt processing. |
297
- | `--n_batch` | Maximum number of prompt tokens to batch together when calling llama_eval. |
298
- | `--n-gpu-layers N_GPU_LAYERS` | Number of layers to offload to the GPU. Only works if llama-cpp-python was compiled with BLAS. Set this to 1000000000 to offload all layers to the GPU. |
299
- | `--n_ctx N_CTX` | Size of the prompt context. |
300
-
301
- #### llama.cpp
302
-
303
- | Flag | Description |
304
- |---------------|---------------|
305
- | `--mul_mat_q` | Activate new mulmat kernels. |
306
- | `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17 |
307
- | `--llama_cpp_seed SEED` | Seed for llama-cpp models. Default 0 (random). |
308
- | `--cache-capacity CACHE_CAPACITY` | Maximum cache capacity. Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. |
309
- |`--cfg-cache` | llamacpp_HF: Create an additional cache for CFG negative prompts. |
310
- | `--no-mmap` | Prevent mmap from being used. |
311
- | `--mlock` | Force the system to keep the model in RAM. |
312
- | `--numa` | Activate NUMA task allocation for llama.cpp |
313
- | `--cpu` | Use the CPU version of llama-cpp-python instead of the GPU-accelerated version. |
314
-
315
- #### ctransformers
316
-
317
- | Flag | Description |
318
- |-------------|-------------|
319
- | `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. |
320
-
321
- #### AutoGPTQ
322
-
323
- | Flag | Description |
324
- |------------------|-------------|
325
- | `--triton` | Use triton. |
326
- | `--no_inject_fused_attention` | Disable the use of fused attention, which will use less VRAM at the cost of slower inference. |
327
- | `--no_inject_fused_mlp` | Triton mode only: disable the use of fused MLP, which will use less VRAM at the cost of slower inference. |
328
- | `--no_use_cuda_fp16` | This can make models faster on some systems. |
329
- | `--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. |
330
- | `--disable_exllama` | Disable ExLlama kernel, which can improve inference speed on some systems. |
331
-
332
- #### ExLlama
333
-
334
- | Flag | Description |
335
- |------------------|-------------|
336
- |`--gpu-split` | Comma-separated list of VRAM (in GB) to use per GPU device for model layers, e.g. `20,7,7` |
337
- |`--max_seq_len MAX_SEQ_LEN` | Maximum sequence length. |
338
- |`--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. |
339
-
340
- #### GPTQ-for-LLaMa
341
-
342
- | Flag | Description |
343
- |---------------------------|-------------|
344
- | `--wbits WBITS` | Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported. |
345
- | `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported. |
346
- | `--groupsize GROUPSIZE` | Group size. |
347
- | `--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`. |
348
- | `--checkpoint CHECKPOINT` | The path to the quantized checkpoint file. If not specified, it will be automatically detected. |
349
- | `--monkey-patch` | Apply the monkey patch for using LoRAs with quantized models.
350
-
351
- #### DeepSpeed
352
-
353
- | Flag | Description |
354
- |---------------------------------------|-------------|
355
- | `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
356
- | `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
357
- | `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
358
-
359
- #### RWKV
360
-
361
- | Flag | Description |
362
- |---------------------------------|-------------|
363
- | `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
364
- | `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
365
-
366
- #### RoPE (for llama.cpp, ExLlama, ExLlamaV2, and transformers)
367
-
368
- | Flag | Description |
369
- |------------------|-------------|
370
- | `--alpha_value ALPHA_VALUE` | Positional embeddings alpha factor for NTK RoPE scaling. Use either this or compress_pos_emb, not both. |
371
- | `--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). |
372
- | `--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. |
373
-
374
- #### Gradio
375
-
376
- | Flag | Description |
377
- |---------------------------------------|-------------|
378
- | `--listen` | Make the web UI reachable from your local network. |
379
- | `--listen-host LISTEN_HOST` | The hostname that the server will use. |
380
- | `--listen-port LISTEN_PORT` | The listening port that the server will use. |
381
- | `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
382
- | `--auto-launch` | Open the web UI in the default browser upon launch. |
383
- | `--gradio-auth USER:PWD` | set gradio authentication like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3" |
384
- | `--gradio-auth-path GRADIO_AUTH_PATH` | Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3" |
385
- | `--ssl-keyfile SSL_KEYFILE` | The path to the SSL certificate key file. |
386
- | `--ssl-certfile SSL_CERTFILE` | The path to the SSL certificate cert file. |
387
-
388
- #### API
389
-
390
- | Flag | Description |
391
- |---------------------------------------|-------------|
392
- | `--api` | Enable the API extension. |
393
- | `--public-api` | Create a public URL for the API using Cloudfare. |
394
- | `--public-api-id PUBLIC_API_ID` | Tunnel ID for named Cloudflare Tunnel. Use together with public-api option. |
395
- | `--api-blocking-port BLOCKING_PORT` | The listening port for the blocking API. |
396
- | `--api-streaming-port STREAMING_PORT` | The listening port for the streaming API. |
397
-
398
- #### Multimodal
399
-
400
- | Flag | Description |
401
- |---------------------------------------|-------------|
402
- | `--multimodal-pipeline PIPELINE` | The multimodal pipeline to use. Examples: `llava-7b`, `llava-13b`. |
403
-
404
- ## Presets
405
-
406
- Inference settings presets can be created under `presets/` as yaml files. These files are detected automatically at startup.
407
-
408
- The presets that are included by default are the result of a contest that received 7215 votes. More details can be found [here](https://github.com/oobabooga/oobabooga.github.io/blob/main/arena/results.md).
409
-
410
- ## Contributing
411
-
412
- If you would like to contribute to the project, check out the [Contributing guidelines](https://github.com/oobabooga/text-generation-webui/wiki/Contributing-guidelines).
413
-
414
- ## Community
415
-
416
- * Subreddit: https://www.reddit.com/r/oobabooga/
417
- * Discord: https://discord.gg/jwZCF2dPQN
418
-
419
- ## Acknowledgment
420
-
421
- 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, which will allow me to dedicate more time towards realizing the full potential of text-generation-webui.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/api-examples/api-example-chat-stream.py DELETED
@@ -1,112 +0,0 @@
1
- import asyncio
2
- import html
3
- import json
4
- import sys
5
-
6
- try:
7
- import websockets
8
- except ImportError:
9
- print("Websockets package not found. Make sure it's installed.")
10
-
11
- # For local streaming, the websockets are hosted without ssl - ws://
12
- HOST = 'localhost:5005'
13
- URI = f'ws://{HOST}/api/v1/chat-stream'
14
-
15
- # For reverse-proxied streaming, the remote will likely host with ssl - wss://
16
- # URI = 'wss://your-uri-here.trycloudflare.com/api/v1/stream'
17
-
18
-
19
- async def run(user_input, history):
20
- # Note: the selected defaults change from time to time.
21
- request = {
22
- 'user_input': user_input,
23
- 'max_new_tokens': 250,
24
- 'auto_max_new_tokens': False,
25
- 'max_tokens_second': 0,
26
- 'history': history,
27
- 'mode': 'instruct', # Valid options: 'chat', 'chat-instruct', 'instruct'
28
- 'character': 'Example',
29
- 'instruction_template': 'Vicuna-v1.1', # Will get autodetected if unset
30
- 'your_name': 'You',
31
- # 'name1': 'name of user', # Optional
32
- # 'name2': 'name of character', # Optional
33
- # 'context': 'character context', # Optional
34
- # 'greeting': 'greeting', # Optional
35
- # 'name1_instruct': 'You', # Optional
36
- # 'name2_instruct': 'Assistant', # Optional
37
- # 'context_instruct': 'context_instruct', # Optional
38
- # 'turn_template': 'turn_template', # Optional
39
- 'regenerate': False,
40
- '_continue': False,
41
- 'chat_instruct_command': 'Continue the chat dialogue below. Write a single reply for the character "<|character|>".\n\n<|prompt|>',
42
-
43
- # Generation params. If 'preset' is set to different than 'None', the values
44
- # in presets/preset-name.yaml are used instead of the individual numbers.
45
- 'preset': 'None',
46
- 'do_sample': True,
47
- 'temperature': 0.7,
48
- 'top_p': 0.1,
49
- 'typical_p': 1,
50
- 'epsilon_cutoff': 0, # In units of 1e-4
51
- 'eta_cutoff': 0, # In units of 1e-4
52
- 'tfs': 1,
53
- 'top_a': 0,
54
- 'repetition_penalty': 1.18,
55
- 'repetition_penalty_range': 0,
56
- 'top_k': 40,
57
- 'min_length': 0,
58
- 'no_repeat_ngram_size': 0,
59
- 'num_beams': 1,
60
- 'penalty_alpha': 0,
61
- 'length_penalty': 1,
62
- 'early_stopping': False,
63
- 'mirostat_mode': 0,
64
- 'mirostat_tau': 5,
65
- 'mirostat_eta': 0.1,
66
- 'grammar_string': '',
67
- 'guidance_scale': 1,
68
- 'negative_prompt': '',
69
-
70
- 'seed': -1,
71
- 'add_bos_token': True,
72
- 'truncation_length': 2048,
73
- 'ban_eos_token': False,
74
- 'custom_token_bans': '',
75
- 'skip_special_tokens': True,
76
- 'stopping_strings': []
77
- }
78
-
79
- async with websockets.connect(URI, ping_interval=None) as websocket:
80
- await websocket.send(json.dumps(request))
81
-
82
- while True:
83
- incoming_data = await websocket.recv()
84
- incoming_data = json.loads(incoming_data)
85
-
86
- match incoming_data['event']:
87
- case 'text_stream':
88
- yield incoming_data['history']
89
- case 'stream_end':
90
- return
91
-
92
-
93
- async def print_response_stream(user_input, history):
94
- cur_len = 0
95
- async for new_history in run(user_input, history):
96
- cur_message = new_history['visible'][-1][1][cur_len:]
97
- cur_len += len(cur_message)
98
- print(html.unescape(cur_message), end='')
99
- sys.stdout.flush() # If we don't flush, we won't see tokens in realtime.
100
-
101
-
102
- if __name__ == '__main__':
103
- user_input = "Please give me a step-by-step guide on how to plant a tree in my backyard."
104
-
105
- # Basic example
106
- history = {'internal': [], 'visible': []}
107
-
108
- # "Continue" example. Make sure to set '_continue' to True above
109
- # arr = [user_input, 'Surely, here is']
110
- # history = {'internal': [arr], 'visible': [arr]}
111
-
112
- asyncio.run(print_response_stream(user_input, history))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/api-examples/api-example-chat.py DELETED
@@ -1,92 +0,0 @@
1
- import html
2
- import json
3
-
4
- import requests
5
-
6
- # For local streaming, the websockets are hosted without ssl - http://
7
- HOST = 'localhost:5000'
8
- URI = f'http://{HOST}/api/v1/chat'
9
-
10
- # For reverse-proxied streaming, the remote will likely host with ssl - https://
11
- # URI = 'https://your-uri-here.trycloudflare.com/api/v1/chat'
12
-
13
-
14
- def run(user_input, history):
15
- request = {
16
- 'user_input': user_input,
17
- 'max_new_tokens': 250,
18
- 'auto_max_new_tokens': False,
19
- 'max_tokens_second': 0,
20
- 'history': history,
21
- 'mode': 'instruct', # Valid options: 'chat', 'chat-instruct', 'instruct'
22
- 'character': 'Example',
23
- 'instruction_template': 'Vicuna-v1.1', # Will get autodetected if unset
24
- 'your_name': 'You',
25
- # 'name1': 'name of user', # Optional
26
- # 'name2': 'name of character', # Optional
27
- # 'context': 'character context', # Optional
28
- # 'greeting': 'greeting', # Optional
29
- # 'name1_instruct': 'You', # Optional
30
- # 'name2_instruct': 'Assistant', # Optional
31
- # 'context_instruct': 'context_instruct', # Optional
32
- # 'turn_template': 'turn_template', # Optional
33
- 'regenerate': False,
34
- '_continue': False,
35
- 'chat_instruct_command': 'Continue the chat dialogue below. Write a single reply for the character "<|character|>".\n\n<|prompt|>',
36
-
37
- # Generation params. If 'preset' is set to different than 'None', the values
38
- # in presets/preset-name.yaml are used instead of the individual numbers.
39
- 'preset': 'None',
40
- 'do_sample': True,
41
- 'temperature': 0.7,
42
- 'top_p': 0.1,
43
- 'typical_p': 1,
44
- 'epsilon_cutoff': 0, # In units of 1e-4
45
- 'eta_cutoff': 0, # In units of 1e-4
46
- 'tfs': 1,
47
- 'top_a': 0,
48
- 'repetition_penalty': 1.18,
49
- 'repetition_penalty_range': 0,
50
- 'top_k': 40,
51
- 'min_length': 0,
52
- 'no_repeat_ngram_size': 0,
53
- 'num_beams': 1,
54
- 'penalty_alpha': 0,
55
- 'length_penalty': 1,
56
- 'early_stopping': False,
57
- 'mirostat_mode': 0,
58
- 'mirostat_tau': 5,
59
- 'mirostat_eta': 0.1,
60
- 'grammar_string': '',
61
- 'guidance_scale': 1,
62
- 'negative_prompt': '',
63
-
64
- 'seed': -1,
65
- 'add_bos_token': True,
66
- 'truncation_length': 2048,
67
- 'ban_eos_token': False,
68
- 'custom_token_bans': '',
69
- 'skip_special_tokens': True,
70
- 'stopping_strings': []
71
- }
72
-
73
- response = requests.post(URI, json=request)
74
-
75
- if response.status_code == 200:
76
- result = response.json()['results'][0]['history']
77
- print(json.dumps(result, indent=4))
78
- print()
79
- print(html.unescape(result['visible'][-1][1]))
80
-
81
-
82
- if __name__ == '__main__':
83
- user_input = "Please give me a step-by-step guide on how to plant a tree in my backyard."
84
-
85
- # Basic example
86
- history = {'internal': [], 'visible': []}
87
-
88
- # "Continue" example. Make sure to set '_continue' to True above
89
- # arr = [user_input, 'Surely, here is']
90
- # history = {'internal': [arr], 'visible': [arr]}
91
-
92
- run(user_input, history)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/api-examples/api-example-model.py DELETED
@@ -1,176 +0,0 @@
1
- #!/usr/bin/env python3
2
-
3
- import requests
4
-
5
- HOST = '0.0.0.0:5000'
6
-
7
-
8
- def generate(prompt, tokens=200):
9
- request = {'prompt': prompt, 'max_new_tokens': tokens}
10
- response = requests.post(f'http://{HOST}/api/v1/generate', json=request)
11
-
12
- if response.status_code == 200:
13
- return response.json()['results'][0]['text']
14
-
15
-
16
- def model_api(request):
17
- response = requests.post(f'http://{HOST}/api/v1/model', json=request)
18
- return response.json()
19
-
20
-
21
- # print some common settings
22
- def print_basic_model_info(response):
23
- basic_settings = ['truncation_length', 'instruction_template']
24
- print("Model: ", response['result']['model_name'])
25
- print("Lora(s): ", response['result']['lora_names'])
26
- for setting in basic_settings:
27
- print(setting, "=", response['result']['shared.settings'][setting])
28
-
29
-
30
- # model info
31
- def model_info():
32
- response = model_api({'action': 'info'})
33
- print_basic_model_info(response)
34
-
35
-
36
- # simple loader
37
- def model_load(model_name):
38
- return model_api({'action': 'load', 'model_name': model_name})
39
-
40
-
41
- # complex loader
42
- def complex_model_load(model):
43
-
44
- def guess_groupsize(model_name):
45
- if '1024g' in model_name:
46
- return 1024
47
- elif '128g' in model_name:
48
- return 128
49
- elif '32g' in model_name:
50
- return 32
51
- else:
52
- return -1
53
-
54
- req = {
55
- 'action': 'load',
56
- 'model_name': model,
57
- 'args': {
58
- 'loader': 'AutoGPTQ',
59
-
60
- 'bf16': False,
61
- 'load_in_8bit': False,
62
- 'groupsize': 0,
63
- 'wbits': 0,
64
-
65
- # llama.cpp
66
- 'threads': 0,
67
- 'n_batch': 512,
68
- 'no_mmap': False,
69
- 'mlock': False,
70
- 'cache_capacity': None,
71
- 'n_gpu_layers': 0,
72
- 'n_ctx': 2048,
73
-
74
- # RWKV
75
- 'rwkv_strategy': None,
76
- 'rwkv_cuda_on': False,
77
-
78
- # b&b 4-bit
79
- # 'load_in_4bit': False,
80
- # 'compute_dtype': 'float16',
81
- # 'quant_type': 'nf4',
82
- # 'use_double_quant': False,
83
-
84
- # "cpu": false,
85
- # "auto_devices": false,
86
- # "gpu_memory": null,
87
- # "cpu_memory": null,
88
- # "disk": false,
89
- # "disk_cache_dir": "cache",
90
- },
91
- }
92
-
93
- model = model.lower()
94
-
95
- if '4bit' in model or 'gptq' in model or 'int4' in model:
96
- req['args']['wbits'] = 4
97
- req['args']['groupsize'] = guess_groupsize(model)
98
- elif '3bit' in model:
99
- req['args']['wbits'] = 3
100
- req['args']['groupsize'] = guess_groupsize(model)
101
- else:
102
- req['args']['gptq_for_llama'] = False
103
-
104
- if '8bit' in model:
105
- req['args']['load_in_8bit'] = True
106
- elif '-hf' in model or 'fp16' in model:
107
- if '7b' in model:
108
- req['args']['bf16'] = True # for 24GB
109
- elif '13b' in model:
110
- req['args']['load_in_8bit'] = True # for 24GB
111
- elif 'gguf' in model:
112
- # req['args']['threads'] = 16
113
- if '7b' in model:
114
- req['args']['n_gpu_layers'] = 100
115
- elif '13b' in model:
116
- req['args']['n_gpu_layers'] = 100
117
- elif '30b' in model or '33b' in model:
118
- req['args']['n_gpu_layers'] = 59 # 24GB
119
- elif '65b' in model:
120
- req['args']['n_gpu_layers'] = 42 # 24GB
121
- elif 'rwkv' in model:
122
- req['args']['rwkv_cuda_on'] = True
123
- if '14b' in model:
124
- req['args']['rwkv_strategy'] = 'cuda f16i8' # 24GB
125
- else:
126
- req['args']['rwkv_strategy'] = 'cuda f16' # 24GB
127
-
128
- return model_api(req)
129
-
130
-
131
- if __name__ == '__main__':
132
- for model in model_api({'action': 'list'})['result']:
133
- try:
134
- resp = complex_model_load(model)
135
-
136
- if 'error' in resp:
137
- print(f"❌ {model} FAIL Error: {resp['error']['message']}")
138
- continue
139
- else:
140
- print_basic_model_info(resp)
141
-
142
- ans = generate("0,1,1,2,3,5,8,13,", tokens=2)
143
-
144
- if '21' in ans:
145
- print(f"✅ {model} PASS ({ans})")
146
- else:
147
- print(f"❌ {model} FAIL ({ans})")
148
-
149
- except Exception as e:
150
- print(f"❌ {model} FAIL Exception: {repr(e)}")
151
-
152
-
153
- # 0,1,1,2,3,5,8,13, is the fibonacci sequence, the next number is 21.
154
- # Some results below.
155
- """ $ ./model-api-example.py
156
- Model: 4bit_gpt4-x-alpaca-13b-native-4bit-128g-cuda
157
- Lora(s): []
158
- truncation_length = 2048
159
- instruction_template = Alpaca
160
- ✅ 4bit_gpt4-x-alpaca-13b-native-4bit-128g-cuda PASS (21)
161
- Model: 4bit_WizardLM-13B-Uncensored-4bit-128g
162
- Lora(s): []
163
- truncation_length = 2048
164
- instruction_template = WizardLM
165
- ✅ 4bit_WizardLM-13B-Uncensored-4bit-128g PASS (21)
166
- Model: Aeala_VicUnlocked-alpaca-30b-4bit
167
- Lora(s): []
168
- truncation_length = 2048
169
- instruction_template = Alpaca
170
- ✅ Aeala_VicUnlocked-alpaca-30b-4bit PASS (21)
171
- Model: alpaca-30b-4bit
172
- Lora(s): []
173
- truncation_length = 2048
174
- instruction_template = Alpaca
175
- ✅ alpaca-30b-4bit PASS (21)
176
- """
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/api-examples/api-example-stream.py DELETED
@@ -1,86 +0,0 @@
1
- import asyncio
2
- import json
3
- import sys
4
-
5
- try:
6
- import websockets
7
- except ImportError:
8
- print("Websockets package not found. Make sure it's installed.")
9
-
10
- # For local streaming, the websockets are hosted without ssl - ws://
11
- HOST = 'localhost:5005'
12
- URI = f'ws://{HOST}/api/v1/stream'
13
-
14
- # For reverse-proxied streaming, the remote will likely host with ssl - wss://
15
- # URI = 'wss://your-uri-here.trycloudflare.com/api/v1/stream'
16
-
17
-
18
- async def run(context):
19
- # Note: the selected defaults change from time to time.
20
- request = {
21
- 'prompt': context,
22
- 'max_new_tokens': 250,
23
- 'auto_max_new_tokens': False,
24
- 'max_tokens_second': 0,
25
-
26
- # Generation params. If 'preset' is set to different than 'None', the values
27
- # in presets/preset-name.yaml are used instead of the individual numbers.
28
- 'preset': 'None',
29
- 'do_sample': True,
30
- 'temperature': 0.7,
31
- 'top_p': 0.1,
32
- 'typical_p': 1,
33
- 'epsilon_cutoff': 0, # In units of 1e-4
34
- 'eta_cutoff': 0, # In units of 1e-4
35
- 'tfs': 1,
36
- 'top_a': 0,
37
- 'repetition_penalty': 1.18,
38
- 'repetition_penalty_range': 0,
39
- 'top_k': 40,
40
- 'min_length': 0,
41
- 'no_repeat_ngram_size': 0,
42
- 'num_beams': 1,
43
- 'penalty_alpha': 0,
44
- 'length_penalty': 1,
45
- 'early_stopping': False,
46
- 'mirostat_mode': 0,
47
- 'mirostat_tau': 5,
48
- 'mirostat_eta': 0.1,
49
- 'grammar_string': '',
50
- 'guidance_scale': 1,
51
- 'negative_prompt': '',
52
-
53
- 'seed': -1,
54
- 'add_bos_token': True,
55
- 'truncation_length': 2048,
56
- 'ban_eos_token': False,
57
- 'custom_token_bans': '',
58
- 'skip_special_tokens': True,
59
- 'stopping_strings': []
60
- }
61
-
62
- async with websockets.connect(URI, ping_interval=None) as websocket:
63
- await websocket.send(json.dumps(request))
64
-
65
- yield context # Remove this if you just want to see the reply
66
-
67
- while True:
68
- incoming_data = await websocket.recv()
69
- incoming_data = json.loads(incoming_data)
70
-
71
- match incoming_data['event']:
72
- case 'text_stream':
73
- yield incoming_data['text']
74
- case 'stream_end':
75
- return
76
-
77
-
78
- async def print_response_stream(prompt):
79
- async for response in run(prompt):
80
- print(response, end='')
81
- sys.stdout.flush() # If we don't flush, we won't see tokens in realtime.
82
-
83
-
84
- if __name__ == '__main__':
85
- prompt = "In order to make homemade bread, follow these steps:\n1)"
86
- asyncio.run(print_response_stream(prompt))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/api-examples/api-example.py DELETED
@@ -1,63 +0,0 @@
1
- import requests
2
-
3
- # For local streaming, the websockets are hosted without ssl - http://
4
- HOST = 'localhost:5000'
5
- URI = f'http://{HOST}/api/v1/generate'
6
-
7
- # For reverse-proxied streaming, the remote will likely host with ssl - https://
8
- # URI = 'https://your-uri-here.trycloudflare.com/api/v1/generate'
9
-
10
-
11
- def run(prompt):
12
- request = {
13
- 'prompt': prompt,
14
- 'max_new_tokens': 250,
15
- 'auto_max_new_tokens': False,
16
- 'max_tokens_second': 0,
17
-
18
- # Generation params. If 'preset' is set to different than 'None', the values
19
- # in presets/preset-name.yaml are used instead of the individual numbers.
20
- 'preset': 'None',
21
- 'do_sample': True,
22
- 'temperature': 0.7,
23
- 'top_p': 0.1,
24
- 'typical_p': 1,
25
- 'epsilon_cutoff': 0, # In units of 1e-4
26
- 'eta_cutoff': 0, # In units of 1e-4
27
- 'tfs': 1,
28
- 'top_a': 0,
29
- 'repetition_penalty': 1.18,
30
- 'repetition_penalty_range': 0,
31
- 'top_k': 40,
32
- 'min_length': 0,
33
- 'no_repeat_ngram_size': 0,
34
- 'num_beams': 1,
35
- 'penalty_alpha': 0,
36
- 'length_penalty': 1,
37
- 'early_stopping': False,
38
- 'mirostat_mode': 0,
39
- 'mirostat_tau': 5,
40
- 'mirostat_eta': 0.1,
41
- 'grammar_string': '',
42
- 'guidance_scale': 1,
43
- 'negative_prompt': '',
44
-
45
- 'seed': -1,
46
- 'add_bos_token': True,
47
- 'truncation_length': 2048,
48
- 'ban_eos_token': False,
49
- 'custom_token_bans': '',
50
- 'skip_special_tokens': True,
51
- 'stopping_strings': []
52
- }
53
-
54
- response = requests.post(URI, json=request)
55
-
56
- if response.status_code == 200:
57
- result = response.json()['results'][0]['text']
58
- print(prompt + result)
59
-
60
-
61
- if __name__ == '__main__':
62
- prompt = "In order to make homemade bread, follow these steps:\n1)"
63
- run(prompt)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/characters/Assistant.yaml DELETED
@@ -1,4 +0,0 @@
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.
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/characters/Example.png DELETED
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text-generation-webui-snapshot-2023-10-15/characters/Example.yaml DELETED
@@ -1,17 +0,0 @@
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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/cmd_linux.sh DELETED
@@ -1,22 +0,0 @@
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\"")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/cmd_macos.sh DELETED
@@ -1,24 +0,0 @@
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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/cmd_windows.bat DELETED
@@ -1,34 +0,0 @@
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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/cmd_wsl.bat DELETED
@@ -1,11 +0,0 @@
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
 
 
 
 
 
 
 
 
 
 
 
 
text-generation-webui-snapshot-2023-10-15/convert-to-safetensors.py DELETED
@@ -1,38 +0,0 @@
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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