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Merge branch 'main' into Zerogoki00-opt4-bit

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oobabooga 2023-03-14 07:50:36 -03:00
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1
.github/FUNDING.yml vendored Normal file
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ko_fi: oobabooga

53
.github/ISSUE_TEMPLATE/bug_report_template.yml vendored Normal file
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name: "Bug report"
description: Report a bug
labels: [ "bug" ]
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill out this bug report!
- type: textarea
id: bug-description
attributes:
label: Describe the bug
description: A clear and concise description of what the bug is.
placeholder: Bug description
validations:
required: true
- type: checkboxes
attributes:
label: Is there an existing issue for this?
description: Please search to see if an issue already exists for the issue you encountered.
options:
- label: I have searched the existing issues
required: true
- type: textarea
id: reproduction
attributes:
label: Reproduction
description: Please provide the steps necessary to reproduce your issue.
placeholder: Reproduction
validations:
required: true
- type: textarea
id: screenshot
attributes:
label: Screenshot
description: "If possible, please include screenshot(s) so that we can understand what the issue is."
- type: textarea
id: logs
attributes:
label: Logs
description: "Please include the full stacktrace of the errors you get in the command-line (if any)."
render: shell
validations:
required: true
- type: textarea
id: system-info
attributes:
label: System Info
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."
render: shell
placeholder:
validations:
required: true

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.github/ISSUE_TEMPLATE/feature_request.md vendored Normal file
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---
name: Feature request
about: Suggest an improvement or new feature for the web UI
title: ''
labels: 'enhancement'
assignees: ''
---
**Description**
A clear and concise description of what you want to be implemented.
**Additional Context**
If applicable, please provide any extra information, external links, or screenshots that could be useful.

11
.github/dependabot.yml vendored Normal file
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# To get started with Dependabot version updates, you'll need to specify which
# package ecosystems to update and where the package manifests are located.
# Please see the documentation for all configuration options:
# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
version: 2
updates:
- package-ecosystem: "pip" # See documentation for possible values
directory: "/" # Location of package manifests
schedule:
interval: "weekly"

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.github/workflows/stale.yml vendored Normal file
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name: Close inactive issues
on:
schedule:
- cron: "10 23 * * *"
jobs:
close-issues:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
steps:
- uses: actions/stale@v5
with:
stale-issue-message: ""
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."
days-before-issue-stale: 30
days-before-issue-close: 0
stale-issue-label: "stale"
days-before-pr-stale: -1
days-before-pr-close: -1
repo-token: ${{ secrets.GITHUB_TOKEN }}

71
README.md
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@ -60,8 +60,7 @@ pip3 install torch torchvision torchaudio --extra-index-url https://download.pyt
conda install pytorch torchvision torchaudio git -c pytorch conda install pytorch torchvision torchaudio git -c pytorch
``` ```
See also: [Installation instructions for human beings See also: [Installation instructions for human beings](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings).
](https://github.com/oobabooga/text-generation-webui/wiki/Installation-instructions-for-human-beings)
## Installation option 2: one-click installers ## Installation option 2: one-click installers
@ -132,39 +131,41 @@ Then browse to
Optionally, you can use the following command-line flags: Optionally, you can use the following command-line flags:
| Flag | Description | | Flag | Description |
|--------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |-------------|-------------|
| `-h`, `--help` | show this help message and exit | | `-h`, `--help` | show this help message and exit |
| `--model MODEL` | Name of the model to load by default. | | `--model MODEL` | Name of the model to load by default. |
| `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. | | `--notebook` | Launch the web UI in notebook mode, where the output is written to the same text box as the input. |
| `--chat` | Launch the web UI in chat mode. | | `--chat` | Launch the web UI in chat mode.|
| `--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. | | `--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. |
| `--cpu` | Use the CPU to generate text. | | `--cpu` | Use the CPU to generate text.|
| `--load-in-8bit` | Load the model with 8-bit precision. | | `--load-in-8bit` | Load the model with 8-bit precision.|
| `--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. | | `--load-in-4bit` | Load the model with 4-bit precision. Currently only works with LLaMA.|
| `--gptq-model-type MODEL_TYPE` | Model type of pre-quantized model. Currently only LLaMa and OPT are supported. | | `--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. |
| `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. | | `--gptq-model-type MODEL_TYPE` | Model type of pre-quantized model. Currently only LLaMa and OPT are supported. |
| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU. | | `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
| `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. | | `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.|
| `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. | | `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |
| `--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. | | `--disk-cache-dir DISK_CACHE_DIR` | Directory to save the disk cache to. Defaults to `cache/`. |
| `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99. | | `--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. |
| `--flexgen` | Enable the use of FlexGen offloading. | | `--cpu-memory CPU_MEMORY` | Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99.|
| `--percent PERCENT [PERCENT ...]` | FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). | | `--flexgen` | Enable the use of FlexGen offloading. |
| `--compress-weight` | FlexGen: Whether to compress weight (default: False). | | `--percent PERCENT [PERCENT ...]` | FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: 0, 100, 100, 0, 100, 0). |
| `--pin-weight [PIN_WEIGHT]` | FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). | | `--compress-weight` | FlexGen: Whether to compress weight (default: False).|
| `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. | | `--pin-weight [PIN_WEIGHT]` | FlexGen: whether to pin weights (setting this to False reduces CPU memory by 20%). |
| `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. | | `--deepspeed` | Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. |
| `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. | | `--nvme-offload-dir NVME_OFFLOAD_DIR` | DeepSpeed: Directory to use for ZeRO-3 NVME offloading. |
| `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". | | `--local_rank LOCAL_RANK` | DeepSpeed: Optional argument for distributed setups. |
| `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. | | `--rwkv-strategy RWKV_STRATEGY` | RWKV: The strategy to use while loading the model. Examples: "cpu fp32", "cuda fp16", "cuda fp16i8". |
| `--no-stream` | Don't stream the text output in real time. This improves the text generation performance. | | `--rwkv-cuda-on` | RWKV: Compile the CUDA kernel for better performance. |
| `--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. | | `--no-stream` | Don't stream the text output in real time. |
| `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. | | `--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.|
| `--listen` | Make the web UI reachable from your local network. | | `--extensions EXTENSIONS [EXTENSIONS ...]` | The list of extensions to load. If you want to load more than one extension, write the names separated by spaces. |
| `--listen-port LISTEN_PORT` | The listening port that the server will use. | | `--listen` | Make the web UI reachable from your local network.|
| `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. | | `--listen-port LISTEN_PORT` | The listening port that the server will use. |
| `--verbose` | Print the prompts to the terminal. | | `--share` | Create a public URL. This is useful for running the web UI on Google Colab or similar. |
| `--auto-launch` | Open the web UI in the default browser upon launch. |
| `--verbose` | Print the prompts to the terminal. |
Out of memory errors? [Check this guide](https://github.com/oobabooga/text-generation-webui/wiki/Low-VRAM-guide). Out of memory errors? [Check this guide](https://github.com/oobabooga/text-generation-webui/wiki/Low-VRAM-guide).

10
extensions/silero_tts/script.py
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@ -57,7 +57,7 @@ def remove_surrounded_chars(string):
def remove_tts_from_history(name1, name2): def remove_tts_from_history(name1, name2):
for i, entry in enumerate(shared.history['internal']): for i, entry in enumerate(shared.history['internal']):
shared.history['visible'][i][1] = entry[1] shared.history['visible'][i] = [shared.history['visible'][i][0], entry[1]]
return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character) return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
def toggle_text_in_history(name1, name2): def toggle_text_in_history(name1, name2):
@ -66,9 +66,9 @@ def toggle_text_in_history(name1, name2):
if visible_reply.startswith('<audio'): if visible_reply.startswith('<audio'):
if params['show_text']: if params['show_text']:
reply = shared.history['internal'][i][1] reply = shared.history['internal'][i][1]
shared.history['visible'][i][1] = f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}" shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"]
else: else:
shared.history['visible'][i][1] = f"{visible_reply.split('</audio>')[0]}</audio>" shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>"]
return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character) return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
def input_modifier(string): def input_modifier(string):
@ -79,8 +79,9 @@ def input_modifier(string):
# Remove autoplay from the last reply # Remove autoplay from the last reply
if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0: if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0:
shared.history['visible'][-1][1] = shared.history['visible'][-1][1].replace('controls autoplay>','controls>') shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
shared.processing_message = "*Is recording a voice message...*"
return string return string
def output_modifier(string): def output_modifier(string):
@ -119,6 +120,7 @@ def output_modifier(string):
if params['show_text']: if params['show_text']:
string += f'\n\n{original_string}' string += f'\n\n{original_string}'
shared.processing_message = "*Is typing...*"
return string return string
def bot_prefix_modifier(string): def bot_prefix_modifier(string):

10
modules/chat.py
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@ -126,8 +126,9 @@ def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical
else: else:
prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size) prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
# Yield *Is typing...*
if not regenerate: if not regenerate:
yield shared.history['visible']+[[visible_text, '*Is typing...*']] yield shared.history['visible']+[[visible_text, shared.processing_message]]
# Generate # Generate
reply = '' reply = ''
@ -168,7 +169,8 @@ def impersonate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typ
prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True) prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True)
reply = '' reply = ''
yield '*Is typing...*' # Yield *Is typing...*
yield shared.processing_message
for i in range(chat_generation_attempts): for i in range(chat_generation_attempts):
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}:"): 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}:"):
reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check, impersonate=True) reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check, impersonate=True)
@ -187,8 +189,8 @@ def regenerate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typi
else: else:
last_visible = shared.history['visible'].pop() last_visible = shared.history['visible'].pop()
last_internal = shared.history['internal'].pop() last_internal = shared.history['internal'].pop()
# Yield '*Is typing...*'
yield generate_chat_output(shared.history['visible']+[[last_visible[0], '*Is typing...*']], name1, name2, shared.character) yield generate_chat_output(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, shared.character)
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): 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):
if shared.args.cai_chat: if shared.args.cai_chat:
shared.history['visible'][-1] = [last_visible[0], _history[-1][1]] shared.history['visible'][-1] = [last_visible[0], _history[-1][1]]

5
modules/shared.py
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@ -11,6 +11,7 @@ is_RWKV = False
history = {'internal': [], 'visible': []} history = {'internal': [], 'visible': []}
character = 'None' character = 'None'
stop_everything = False stop_everything = False
processing_message = '*Is typing...*'
# UI elements (buttons, sliders, HTML, etc) # UI elements (buttons, sliders, HTML, etc)
gradio = {} gradio = {}
@ -85,12 +86,12 @@ parser.add_argument('--nvme-offload-dir', type=str, help='DeepSpeed: Directory t
parser.add_argument('--local_rank', type=int, default=0, help='DeepSpeed: Optional argument for distributed setups.') parser.add_argument('--local_rank', type=int, default=0, help='DeepSpeed: Optional argument for distributed setups.')
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".') 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".')
parser.add_argument('--rwkv-cuda-on', action='store_true', help='RWKV: Compile the CUDA kernel for better performance.') parser.add_argument('--rwkv-cuda-on', action='store_true', help='RWKV: Compile the CUDA kernel for better performance.')
parser.add_argument('--no-stream', action='store_true', help='Don\'t stream the text output in real time. This improves the text generation performance.') parser.add_argument('--no-stream', action='store_true', help='Don\'t stream the text output in real time.')
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.') 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.')
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.') 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.')
parser.add_argument('--listen', action='store_true', help='Make the web UI reachable from your local network.') parser.add_argument('--listen', action='store_true', help='Make the web UI reachable from your local network.')
parser.add_argument('--listen-port', type=int, help='The listening port that the server will use.') parser.add_argument('--listen-port', type=int, help='The listening port that the server will use.')
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.') 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.')
parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch.')
parser.add_argument('--verbose', action='store_true', help='Print the prompts to the terminal.') parser.add_argument('--verbose', action='store_true', help='Print the prompts to the terminal.')
parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch')
args = parser.parse_args() args = parser.parse_args()

2
modules/text_generation.py
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@ -123,7 +123,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
original_input_ids = input_ids original_input_ids = input_ids
output = input_ids[0] output = input_ids[0]
cuda = "" if (shared.args.cpu or shared.args.deepspeed or shared.args.flexgen) else ".cuda()" cuda = "" if (shared.args.cpu or shared.args.deepspeed or shared.args.flexgen) else ".cuda()"
eos_token_ids = [shared.tokenizer.eos_token_id] eos_token_ids = [shared.tokenizer.eos_token_id] if shared.tokenizer.eos_token_id is not None else []
if eos_token is not None: if eos_token is not None:
eos_token_ids.append(int(encode(eos_token)[0][-1])) eos_token_ids.append(int(encode(eos_token)[0][-1]))
stopping_criteria_list = transformers.StoppingCriteriaList() stopping_criteria_list = transformers.StoppingCriteriaList()

8
requirements.txt
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@ -1,11 +1,11 @@
accelerate==0.17.0 accelerate==0.17.1
bitsandbytes==0.37.0 bitsandbytes==0.37.1
flexgen==0.1.7 flexgen==0.1.7
gradio==3.18.0 gradio==3.18.0
numpy numpy
requests requests
rwkv==0.3.1 rwkv==0.4.2
safetensors==0.3.0 safetensors==0.3.0
sentencepiece sentencepiece
tqdm tqdm
git+https://github.com/zphang/transformers@llama_push git+https://github.com/zphang/transformers.git@68d640f7c368bcaaaecfc678f11908ebbd3d6176