docs: format with prettier
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@ -61,6 +61,7 @@ Pull a base model:
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```
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ollama pull llama2
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```
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> To update a model to the latest version, run `ollama pull llama2` again. The model will be updated (if necessary).
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Create a `Modelfile`:
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@ -151,7 +152,7 @@ curl -X POST http://localhost:11434/api/create -d '{"name": "my-model", "path":
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## Tools using Ollama
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- [LangChain](https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa) integration - Set up all local, JS-based retrival + QA over docs in 5 minutes.
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- [LangChain](https://js.langchain.com/docs/use_cases/question_answering/local_retrieval_qa) integration - Set up all local, JS-based retrival + QA over docs in 5 minutes.
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- [Continue](https://github.com/continuedev/continue) - embeds Ollama inside Visual Studio Code. The extension lets you highlight code to add to the prompt, ask questions in the sidebar, and generate code inline.
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- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot) - interact with Ollama as a chatbot on Discord.
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- [Raycast Ollama](https://github.com/MassimilianoPasquini97/raycast_ollama) - Raycast extension to use Ollama for local llama inference on Raycast.
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@ -30,19 +30,15 @@ Now you can run `ollama`:
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To release a new version of Ollama you'll need to set some environment variables:
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* `GITHUB_TOKEN`: your GitHub token
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* `APPLE_IDENTITY`: the Apple signing identity (macOS only)
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* `APPLE_ID`: your Apple ID
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* `APPLE_PASSWORD`: your Apple ID app-specific password
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* `APPLE_TEAM_ID`: the Apple team ID for the signing identity
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* `TELEMETRY_WRITE_KEY`: segment write key for telemetry
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- `GITHUB_TOKEN`: your GitHub token
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- `APPLE_IDENTITY`: the Apple signing identity (macOS only)
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- `APPLE_ID`: your Apple ID
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- `APPLE_PASSWORD`: your Apple ID app-specific password
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- `APPLE_TEAM_ID`: the Apple team ID for the signing identity
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- `TELEMETRY_WRITE_KEY`: segment write key for telemetry
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Then run the publish script with the target version:
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```
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VERSION=0.0.2 ./scripts/publish.sh
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```
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