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readme: link usage to docs
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README.md
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README.md
@ -112,81 +112,11 @@ Note that this started just as a [fun weekend project](https://localai.io/#backs
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## 💻 Usage
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Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section. Here below you will find generic, quick instructions to get ready and use LocalAI.
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The easiest way to run LocalAI is by using `docker-compose` (to build locally, see [building LocalAI](https://localai.io/basics/build/index.html)):
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```bash
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI
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# (optional) Checkout a specific LocalAI tag
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# git checkout -b build <TAG>
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# copy your models to models/
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cp your-model.bin models/
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# (optional) Edit the .env file to set things like context size and threads
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# vim .env
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# start with docker-compose
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docker-compose up -d --pull always
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# or you can build the images with:
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# docker-compose up -d --build
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# Now API is accessible at localhost:8080
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curl http://localhost:8080/v1/models
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# {"object":"list","data":[{"id":"your-model.bin","object":"model"}]}
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curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
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"model": "your-model.bin",
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"prompt": "A long time ago in a galaxy far, far away",
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"temperature": 0.7
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}'
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```
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Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section in our documentation.
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### 💡 Example: Use GPT4ALL-J model
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<details>
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```bash
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI
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# (optional) Checkout a specific LocalAI tag
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# git checkout -b build <TAG>
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# Download gpt4all-j to models/
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wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
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# Use a template from the examples
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cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
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# (optional) Edit the .env file to set things like context size and threads
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# vim .env
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# start with docker-compose
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docker-compose up -d --pull always
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# or you can build the images with:
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# docker-compose up -d --build
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# Now API is accessible at localhost:8080
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curl http://localhost:8080/v1/models
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# {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
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curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
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"model": "ggml-gpt4all-j",
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"messages": [{"role": "user", "content": "How are you?"}],
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"temperature": 0.9
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}'
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# {"model":"ggml-gpt4all-j","choices":[{"message":{"role":"assistant","content":"I'm doing well, thanks. How about you?"}}]}
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```
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</details>
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See the [documentation](https://localai.io/basics/getting_started/#example-use-gpt4all-j-model-with-docker-compose)
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### 🔗 Resources
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