mirror of
https://github.com/mudler/LocalAI.git
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39 lines
1.2 KiB
Markdown
39 lines
1.2 KiB
Markdown
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+++
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disableToc = false
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title = "🦙 AutoGPTQ"
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weight = 3
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+++
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[AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) is an easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
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## Prerequisites
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This is an extra backend - in the container images is already available and there is nothing to do for the setup.
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If you are building LocalAI locally, you need to install [AutoGPTQ manually](https://github.com/PanQiWei/AutoGPTQ#quick-installation).
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## Model setup
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The models are automatically downloaded from `huggingface` if not present the first time. It is possible to define models via `YAML` config file, or just by querying the endpoint with the `huggingface` repository model name. For example, create a `YAML` config file in `models/`:
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```
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name: orca
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backend: autogptq
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model_base_name: "orca_mini_v2_13b-GPTQ-4bit-128g.no-act.order"
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parameters:
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model: "TheBloke/orca_mini_v2_13b-GPTQ"
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# ...
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```
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Test with:
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```bash
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curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
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"model": "orca",
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"messages": [{"role": "user", "content": "How are you?"}],
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"temperature": 0.1
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}'
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```
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