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43 lines
1.4 KiB
Markdown
43 lines
1.4 KiB
Markdown
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+++
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disableToc = false
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title = "🦙 Exllama"
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weight = 2
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[Exllama](https://github.com/turboderp/exllama) is a "A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights"
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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 [exllama manually](https://github.com/jllllll/exllama#this-is-a-python-module-version-of-exllama) first.
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## Model setup
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Download the model as a folder inside the `model ` directory and create a YAML file specifying the `exllama` backend. For instance with the `TheBloke/WizardLM-7B-uncensored-GPTQ` model:
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```
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$ git lfs install
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$ cd models && git clone https://huggingface.co/TheBloke/WizardLM-7B-uncensored-GPTQ
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$ ls models/
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.keep WizardLM-7B-uncensored-GPTQ/ exllama.yaml
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$ cat models/exllama.yaml
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name: exllama
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parameters:
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model: WizardLM-7B-uncensored-GPTQ
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backend: exllama
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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": "exllama",
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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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