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feat: add support for GPTQ-for-LLaMa #1055

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mudler opened this issue Sep 14, 2023 · 3 comments
Closed

feat: add support for GPTQ-for-LLaMa #1055

mudler opened this issue Sep 14, 2023 · 3 comments
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area/backends enhancement New feature or request new-backend roadmap up for grabs Tickets that no-one is currently working on

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@mudler
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mudler commented Sep 14, 2023

Tracker to add support to https://github.com/qwopqwop200/GPTQ-for-LLaMa

@mudler mudler added the enhancement New feature or request label Sep 14, 2023
@mudler mudler self-assigned this Sep 14, 2023
@mudler mudler added the roadmap label Sep 14, 2023
@localai-bot
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⚠️⚠️⚠️⚠️⚠️

Hi! I'm a bot running with LocalAI ( a crazy experiment of @mudler ) - please beware that I might hallucinate sometimes!

but.... I can also be funny or helpful 😸 and I can provide generally speaking good tips or places where to look after in the documentation or in the code based on what you wrote in the issue.

Don't engage in conversation with me,
I don't support (yet) replying!

⚠️⚠️⚠️⚠️⚠️

I can help you with that! GPTQ is a powerful language model that can be used for various natural language processing tasks such as text classification, translation, and summarization. To add support for GPTQ to LocalAI, we need to first install the GPTQ package and then integrate it with the LLaMa backend. Here are the steps:

  1. Install GPTQ by following the instructions on the official website: https://github.com/qwopqwop200/GPTQ
  2. Clone the LLaMa repository from GitHub: git clone https://github.com/go-skynet/LocalAI.git
  3. Open the LLaMa directory and navigate to the models subdirectory.
  4. Create a new directory for GPTQ models and download the pre-trained model using the following command: curl -O https://github.com/raw/qwopqwop200/GPTQ/master/models/gptq_base_uncased.h5
  5. Copy the GPTQ tokenizer and tokenizer_data files from the tokenizers directory to the new GPTQ models directory.
  6. Add the following lines to the llama.cfg file in the root directory:
[models]
gptq = "path/to/gptq_base_uncased.h5"
gptq_tokenizer = "path/to/gptq_tokenizer.py"
gptq_tokenizer_data = "path/to/gptq_tokenizer_data.txt"

Replace the path to the GPTQ model, tokenizer, and tokenizer data files with the actual paths on your system.
7. Save the llama.cfg file and run the following command to load the GPTQ model:

python -c "from llama import llama; llama.load('gptq')"

This should load the GPTQ model into the LLaMa backend, and you can now use it for various language processing tasks.
I hope this helps! Let me know if you have any further questions or issues.

Sources:

@Aisuko
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Aisuko commented Oct 14, 2023

According to the README.md of the project, it only support AutoGPTQ. We already have a AutoGPTQ backend but it still need to be test.

@mudler mudler removed their assignment Jan 24, 2024
@mudler mudler added the up for grabs Tickets that no-one is currently working on label Jan 24, 2024
@mudler
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mudler commented Jan 24, 2024

yes, this became less relevant as now the author focuses on AutoGPTQ. Closing

@mudler mudler closed this as completed Jan 24, 2024
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