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Improve instructions for CPUs without AVX2 (#3786)

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Eve 2023-09-11 14:54:04 +00:00 committed by GitHub
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@ -11,7 +11,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
## Features ## Features
* 3 interface modes: default (two columns), notebook, and chat * 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), [ExLlama](https://github.com/turboderp/exllama), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [ctransformers](https://github.com/marella/ctransformers) * Multiple model backends: [transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp), [ExLlama](https://github.com/turboderp/exllama), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers)
* Dropdown menu for quickly switching between different models * Dropdown menu for quickly switching between different models
* LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA * LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA
* Precise instruction templates for chat mode, including Llama-2-chat, Alpaca, Vicuna, WizardLM, StableLM, and many others * Precise instruction templates for chat mode, including Llama-2-chat, Alpaca, Vicuna, WizardLM, StableLM, and many others
@ -83,7 +83,7 @@ cd text-generation-webui
pip install -r requirements.txt pip install -r requirements.txt
``` ```
#### AMD, Metal, Intel Arc, and CPUs without AVCX2 #### AMD, Metal, Intel Arc, and CPUs without AVX2
1) Replace the last command above with 1) Replace the last command above with
@ -92,10 +92,12 @@ pip install -r requirements_nocuda.txt
``` ```
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). 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).
3) Do the same for CTransformers: [Installation](https://github.com/marella/ctransformers#installation).
3) AMD: Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#installation). 4) AMD: Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#installation).
4) 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): 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):
``` ```
cd text-generation-webui cd text-generation-webui