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@ -13,7 +13,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
* 3 interface modes: default (two columns), notebook, and chat.
* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlama](https://github.com/turboderp/exllama), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp).
* Dropdown menu for quickly switching between different models.
* Large number of extensions (built-in and user-contributed), including Coqui TTS for voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
* Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
* [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
* Precise templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral, and many others.
* Easy UI for training LoRAs, as well as loading/unloading them on the fly.
@ -30,6 +30,8 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
To launch the web UI again in the future, run the same `start_` script that you used to install it.
Command-line flags can be passed to the `start_` script. Alternatively, you can open the file `CMD_FLAGS.txt` with a text editor and add your flags there.
<details>
<summary>
Setup details and information about installing manually
@ -201,8 +203,6 @@ pip install -r <requirements file that you have used> --upgrade
```
</details>
Command-line flags can be passed to the `start_` script. Alternatively, you can open the file `CMD_FLAGS.txt` with a text editor and add your flags there.
<details>
<summary>
Command-line flags list
@ -382,14 +382,14 @@ https://github.com/oobabooga/text-generation-webui/wiki
## Downloading models
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).
Models should be placed in the folder `text-generation-webui/models`. They are usually downloaded from [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads).
* GGUF models are a single file and should be placed directly into `models`. Example:
```
text-generation-webui
├── models
│   ├── llama-2-13b-chat.Q4_K_M.gguf
└── models
└── llama-2-13b-chat.Q4_K_M.gguf
```
* Other models (like 16-bit transformers models and GPTQ models) are made of several files and must be placed in a subfolder. Example:
@ -413,7 +413,13 @@ text-generation-webui
│   │   └── tokenizer.model
```
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).
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.
#### GPT-4chan