mirror of
https://github.com/oobabooga/text-generation-webui.git
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108 lines
3.2 KiB
Markdown
108 lines
3.2 KiB
Markdown
You have now entered a hidden corner of the internet.
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A confusing yet intriguing realm of paradoxes and contradictions.
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A place where you will find out that what you thought you knew, you in fact didn't know, and what you didn't know was in front of you all along.
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![](https://i.pinimg.com/originals/6e/e2/7b/6ee27bad351d3aca470d80f1033ba9c6.jpg)
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*In other words, here I will document little-known facts about this web UI that I could not find another place for in the wiki.*
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#### You can train LoRAs in CPU mode
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Load the web UI with
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```
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python server.py --cpu
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```
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and start training the LoRA from the training tab as usual.
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#### 8-bit mode works with CPU offloading
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```
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python server.py --load-in-8bit --gpu-memory 4000MiB
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```
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#### `--pre_layer`, and not `--gpu-memory`, is the right way to do CPU offloading with 4-bit models
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```
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python server.py --wbits 4 --groupsize 128 --pre_layer 20
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```
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#### Models can be loaded in 32-bit, 16-bit, 8-bit, and 4-bit modes
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```
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python server.py --cpu
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python server.py
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python server.py --load-in-8bit
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python server.py --wbits 4
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```
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#### The web UI works with any version of GPTQ-for-LLaMa
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Including the up to date triton and cuda branches. But you have to delete the `repositories/GPTQ-for-LLaMa` folder and reinstall the new one every time:
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```
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cd text-generation-webui/repositories
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rm -r GPTQ-for-LLaMa
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pip uninstall quant-cuda
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git clone https://github.com/oobabooga/GPTQ-for-LLaMa -b cuda # or any other repository and branch
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cd GPTQ-for-LLaMa
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python setup_cuda.py install
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```
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#### Instruction-following templates are represented as chat characters
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https://github.com/oobabooga/text-generation-webui/tree/main/characters/instruction-following
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#### The right way to run Alpaca, Open Assistant, Vicuna, etc is Instruct mode, not normal chat mode
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Otherwise the prompt will not be formatted correctly.
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1. Start the web UI with
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```
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python server.py --chat
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```
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2. Click on the "instruct" option under "Chat modes"
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3. Select the correct template in the hidden dropdown menu that will become visible.
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#### Notebook mode is best mode
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Ascended individuals have realized that notebook mode is the superset of chat mode and can do chats with ultimate flexibility, including group chats, editing replies, starting a new bot reply in a given way, and impersonating.
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#### RWKV is a RNN
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Most models are transformers, but not RWKV, which is a RNN. It's a great model.
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#### `--gpu-memory` is not a hard limit on the GPU memory
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It is simply a parameter that is passed to the `accelerate` library while loading the model. More memory will be allocated during generation. That's why this parameter has to be set to less than your total GPU memory.
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#### Contrastive search perhaps the best preset
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But it uses a ton of VRAM.
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#### You can check the sha256sum of downloaded models with the download script
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```
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python download-model.py facebook/galactica-125m --check
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```
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#### The download script continues interrupted downloads by default
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It doesn't start over.
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#### You can download models with multiple threads
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```
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python download-model.py facebook/galactica-125m --threads 8
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```
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#### LoRAs work in 4-bit mode
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You need to follow [these instructions](GPTQ-models-(4-bit-mode).md#using-loras-in-4-bit-mode) and then start the web UI with the `--monkey-patch` flag.
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