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Merge branch 'main' into Zerogoki00-opt4-bit
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3da73e409f
1
.github/FUNDING.yml
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.github/FUNDING.yml
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ko_fi: oobabooga
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.github/ISSUE_TEMPLATE/bug_report_template.yml
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.github/ISSUE_TEMPLATE/bug_report_template.yml
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name: "Bug report"
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description: Report a bug
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labels: [ "bug" ]
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body:
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- type: markdown
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attributes:
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value: |
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Thanks for taking the time to fill out this bug report!
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- type: textarea
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id: bug-description
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attributes:
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label: Describe the bug
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description: A clear and concise description of what the bug is.
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placeholder: Bug description
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validations:
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required: true
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attributes:
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label: Is there an existing issue for this?
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description: Please search to see if an issue already exists for the issue you encountered.
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options:
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- label: I have searched the existing issues
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id: reproduction
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attributes:
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label: Reproduction
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description: Please provide the steps necessary to reproduce your issue.
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placeholder: Reproduction
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required: true
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id: screenshot
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label: Screenshot
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description: "If possible, please include screenshot(s) so that we can understand what the issue is."
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label: Logs
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required: true
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id: system-info
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attributes:
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label: System Info
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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."
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render: shell
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.github/ISSUE_TEMPLATE/feature_request.md
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.github/ISSUE_TEMPLATE/feature_request.md
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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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**Description**
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A clear and concise description of what you want to be implemented.
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**Additional Context**
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If applicable, please provide any extra information, external links, or screenshots that could be useful.
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.github/dependabot.yml
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.github/dependabot.yml
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# To get started with Dependabot version updates, you'll need to specify which
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# package ecosystems to update and where the package manifests are located.
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# Please see the documentation for all configuration options:
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# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
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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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.github/workflows/stale.yml
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.github/workflows/stale.yml
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name: Close inactive issues
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on:
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schedule:
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- cron: "10 23 * * *"
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jobs:
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close-issues:
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runs-on: ubuntu-latest
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permissions:
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issues: write
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pull-requests: write
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steps:
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- uses: actions/stale@v5
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with:
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stale-issue-message: ""
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close-issue-message: "This issue has been closed due to inactivity for 30 days. If you believe it is still relevant, you can reopen it (if you are the author) or leave a comment below."
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days-before-issue-stale: 30
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days-before-issue-close: 0
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stale-issue-label: "stale"
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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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25
README.md
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README.md
@ -60,8 +60,7 @@ pip3 install torch torchvision torchaudio --extra-index-url https://download.pyt
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conda install pytorch torchvision torchaudio git -c pytorch
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```
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See also: [Installation instructions for human beings
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](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings)
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See also: [Installation instructions for human beings](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings).
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## Installation option 2: one-click installers
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@ -133,37 +132,39 @@ Then browse to
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Optionally, you can use the following command-line flags:
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| Flag | Description |
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|--------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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|-------------|-------------|
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| `-h`, `--help` | show this help message and exit |
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| `--model MODEL` | Name of the model to load by default. |
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| `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. |
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| `--chat` | Launch the web UI in chat mode. |
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| `--chat` | Launch the web UI in chat mode.|
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| `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file `img_bot.png` or `img_bot.jpg` exists in the same folder as server.py, this image will be used as the bot's profile picture. Similarly, `img_me.png` or `img_me.jpg` will be used as your profile picture. |
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| `--cpu` | Use the CPU to generate text. |
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| `--load-in-8bit` | Load the model with 8-bit precision. |
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| `--cpu` | Use the CPU to generate text.|
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| `--load-in-8bit` | Load the model with 8-bit precision.|
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| `--load-in-4bit` | Load the model with 4-bit precision. Currently only works with LLaMA.|
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| `--gptq-bits GPTQ_BITS` | Load a pre-quantized model with specified precision. 2, 3, 4 and 8 (bit) are supported. Currently only works with LLaMA and OPT. |
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| `--gptq-model-type MODEL_TYPE` | Model type of pre-quantized model. Currently only LLaMa and OPT are supported. |
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| `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
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| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. |
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| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.|
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| `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
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| `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. |
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| `--gpu-memory GPU_MEMORY [GPU_MEMORY ...]` | Maxmimum GPU memory in GiB to be allocated per GPU. Example: `--gpu-memory 10` for a single GPU, `--gpu-memory 10 5` for two GPUs. |
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| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99. |
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| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99.|
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| `--flexgen` | Enable the use of FlexGen offloading. |
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| `--percent PERCENT [PERCENT ...]` | FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). |
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| `--compress-weight` | FlexGen: Whether to compress weight (default: False). |
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| `--compress-weight` | FlexGen: Whether to compress weight (default: False).|
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| `--pin-weight [PIN_WEIGHT]` | FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). |
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| `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
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| `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
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| `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
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| `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
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| `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
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| `--no-stream` | Don't stream the text output in real time. This improves the text generation performance. |
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| `--settings SETTINGS_FILE` | Load the default interface settings from this json file. See `settings-template.json` for an example. If you create a file called `settings.json`, this file will be loaded by default without the need to use the `--settings` flag. |
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| `--no-stream` | Don't stream the text output in real time. |
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| `--settings SETTINGS_FILE` | Load the default interface settings from this json file. See `settings-template.json` for an example. If you create a file called `settings.json`, this file will be loaded by default without the need to use the `--settings` flag.|
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| `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
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| `--listen` | Make the web UI reachable from your local network. |
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| `--listen` | Make the web UI reachable from your local network.|
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| `--listen-port LISTEN_PORT` | The listening port that the server will use. |
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| `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
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| `--auto-launch` | Open the web UI in the default browser upon launch. |
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| `--verbose` | Print the prompts to the terminal. |
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Out of memory errors? [Check this guide](https://github.com/oobabooga/text-generation-webui/wiki/Low-VRAM-guide).
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@ -57,7 +57,7 @@ def remove_surrounded_chars(string):
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def remove_tts_from_history(name1, name2):
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for i, entry in enumerate(shared.history['internal']):
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shared.history['visible'][i][1] = entry[1]
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shared.history['visible'][i] = [shared.history['visible'][i][0], entry[1]]
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return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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def toggle_text_in_history(name1, name2):
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@ -66,9 +66,9 @@ def toggle_text_in_history(name1, name2):
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if visible_reply.startswith('<audio'):
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if params['show_text']:
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reply = shared.history['internal'][i][1]
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shared.history['visible'][i][1] = f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"
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shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"]
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else:
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shared.history['visible'][i][1] = f"{visible_reply.split('</audio>')[0]}</audio>"
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shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>"]
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return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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def input_modifier(string):
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@ -79,8 +79,9 @@ def input_modifier(string):
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# Remove autoplay from the last reply
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if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0:
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shared.history['visible'][-1][1] = shared.history['visible'][-1][1].replace('controls autoplay>','controls>')
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shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
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shared.processing_message = "*Is recording a voice message...*"
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return string
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def output_modifier(string):
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@ -119,6 +120,7 @@ def output_modifier(string):
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if params['show_text']:
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string += f'\n\n{original_string}'
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shared.processing_message = "*Is typing...*"
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return string
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def bot_prefix_modifier(string):
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@ -126,8 +126,9 @@ def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical
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else:
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prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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# Yield *Is typing...*
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if not regenerate:
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yield shared.history['visible']+[[visible_text, '*Is typing...*']]
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yield shared.history['visible']+[[visible_text, shared.processing_message]]
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# Generate
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reply = ''
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@ -168,7 +169,8 @@ def impersonate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typ
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True)
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reply = ''
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yield '*Is typing...*'
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# Yield *Is typing...*
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yield shared.processing_message
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for i in range(chat_generation_attempts):
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for reply in generate_reply(prompt+reply, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name2}:"):
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reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check, impersonate=True)
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@ -187,8 +189,8 @@ def regenerate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typi
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else:
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last_visible = shared.history['visible'].pop()
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last_internal = shared.history['internal'].pop()
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yield generate_chat_output(shared.history['visible']+[[last_visible[0], '*Is typing...*']], name1, name2, shared.character)
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# Yield '*Is typing...*'
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yield generate_chat_output(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, shared.character)
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for _history in chatbot_wrapper(last_internal[0], max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts, regenerate=True):
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if shared.args.cai_chat:
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shared.history['visible'][-1] = [last_visible[0], _history[-1][1]]
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@ -11,6 +11,7 @@ is_RWKV = False
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history = {'internal': [], 'visible': []}
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character = 'None'
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stop_everything = False
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processing_message = '*Is typing...*'
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# UI elements (buttons, sliders, HTML, etc)
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gradio = {}
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@ -85,12 +86,12 @@ parser.add_argument('--nvme-offload-dir', type=str, help='DeepSpeed: Directory t
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parser.add_argument('--local_rank', type=int, default=0, help='DeepSpeed: Optional argument for distributed setups.')
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parser.add_argument('--rwkv-strategy', type=str, default=None, help='RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8".')
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parser.add_argument('--rwkv-cuda-on', action='store_true', help='RWKV: Compile the CUDA kernel for better performance.')
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parser.add_argument('--no-stream', action='store_true', help='Don\'t stream the text output in real time. This improves the text generation performance.')
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parser.add_argument('--no-stream', action='store_true', help='Don\'t stream the text output in real time.')
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parser.add_argument('--settings', type=str, help='Load the default interface settings from this json file. See settings-template.json for an example. If you create a file called settings.json, this file will be loaded by default without the need to use the --settings flag.')
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parser.add_argument('--extensions', type=str, nargs="+", help='The list of extensions to load. If you want to load more than one extension, write the names separated by spaces.')
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parser.add_argument('--listen', action='store_true', help='Make the web UI reachable from your local network.')
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parser.add_argument('--listen-port', type=int, help='The listening port that the server will use.')
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parser.add_argument('--share', action='store_true', help='Create a public URL. This is useful for running the web UI on Google Colab or similar.')
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parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch.')
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parser.add_argument('--verbose', action='store_true', help='Print the prompts to the terminal.')
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parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch')
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args = parser.parse_args()
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@ -123,7 +123,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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original_input_ids = input_ids
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output = input_ids[0]
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cuda = "" if (shared.args.cpu or shared.args.deepspeed or shared.args.flexgen) else ".cuda()"
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eos_token_ids = [shared.tokenizer.eos_token_id]
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eos_token_ids = [shared.tokenizer.eos_token_id] if shared.tokenizer.eos_token_id is not None else []
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if eos_token is not None:
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eos_token_ids.append(int(encode(eos_token)[0][-1]))
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stopping_criteria_list = transformers.StoppingCriteriaList()
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@ -1,11 +1,11 @@
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accelerate==0.17.0
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bitsandbytes==0.37.0
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accelerate==0.17.1
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bitsandbytes==0.37.1
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flexgen==0.1.7
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gradio==3.18.0
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numpy
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requests
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rwkv==0.3.1
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rwkv==0.4.2
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safetensors==0.3.0
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sentencepiece
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tqdm
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git+https://github.com/zphang/transformers@llama_push
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||||
git+https://github.com/zphang/transformers.git@68d640f7c368bcaaaecfc678f11908ebbd3d6176
|
||||
|
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