109 lines
1.9 KiB
Markdown
109 lines
1.9 KiB
Markdown
![ollama](https://github.com/jmorganca/ollama/assets/251292/961f99bb-251a-4eec-897d-1ba99997ad0f)
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# Ollama
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Run large language models with `llama.cpp`.
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> Note: certain models that can be run with Ollama are intended for research and/or non-commercial use only.
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### Features
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- Download and run popular large language models
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- Switch between multiple models on the fly
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- Hardware acceleration where available (Metal, CUDA)
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- Fast inference server written in Go, powered by [llama.cpp](https://github.com/ggerganov/llama.cpp)
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- REST API to use with your application (python, typescript SDKs coming soon)
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## Install
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- [Download](https://ollama.ai/download) for macOS
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- Download for Windows (coming soon)
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- Docker: `docker run -p 11434:11434 ollama/ollama`
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You can also build the [binary from source](#building).
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## Quickstart
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Run a fast and simple model.
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```
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ollama run orca
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```
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## Example models
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### 💬 Chat
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Have a conversation.
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```
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ollama run vicuna "Why is the sky blue?"
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```
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### 🗺️ Instructions
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Get a helping hand.
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```
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ollama run orca "Write an email to my boss."
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```
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### 🔎 Ask questions about documents
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Send the contents of a document and ask questions about it.
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```
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ollama run nous-hermes "$(cat input.txt)", please summarize this story
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```
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### 📖 Storytelling
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Venture into the unknown.
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```
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ollama run nous-hermes "Once upon a time"
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```
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## Advanced usage
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### Run a local model
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```
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ollama run ~/Downloads/vicuna-7b-v1.3.ggmlv3.q4_1.bin
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```
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## Building
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```
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make
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```
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To run it start the server:
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```
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./ollama server &
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```
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Finally, run a model!
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```
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./ollama run ~/Downloads/vicuna-7b-v1.3.ggmlv3.q4_1.bin
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```
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## API Reference
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### `POST /api/pull`
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Download a model
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```
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curl -X POST http://localhost:11343/api/pull -d '{"model": "orca"}'
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```
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### `POST /api/generate`
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Complete a prompt
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```
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curl -X POST http://localhost:11434/api/generate -d '{"model": "orca", "prompt": "hello!", "stream": true}'
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```
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