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update quick start to have the working instruction (#467)
# What does this PR do? Fix the instruction in quickstart readme so the new developers/users can run it without issues. ## Test Plan None ## Sources Please link relevant resources if necessary. ## Before submitting - [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [X] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [X] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests. Co-authored-by: Henry Tai <henrytai@fb.com>
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@ -22,14 +22,22 @@ If you're looking for more specific topics like tool calling or agent setup, we
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- Download and unzip `Ollama-darwin.zip`.
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- Run the `Ollama` application.
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2. **Download the Ollama CLI**:
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1. **Download the Ollama CLI**:
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- Ensure you have the `ollama` command line tool by downloading and installing it from the same website.
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3. **Verify Installation**:
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1. **Start ollama server**:
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- Open the terminal and run:
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```
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ollama serve
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```
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1. **Run the model**:
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- Open the terminal and run:
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```bash
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ollama run llama3.2:1b
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ollama run llama3.2:3b-instruct-fp16
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```
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**Note**: The supported models for llama stack for now is listed in [here](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/inference/ollama/ollama.py#L43)
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---
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@ -84,6 +92,8 @@ If you're looking for more specific topics like tool calling or agent setup, we
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```bash
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llama stack run /path/to/your/distro/llamastack-ollama/ollama-run.yaml --port 5050
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```
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Note:
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1. Everytime you run a new model with `ollama run`, you will need to restart the llama stack. Otherwise it won't see the new model
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The server will start and listen on `http://localhost:5050`.
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@ -97,7 +107,7 @@ After setting up the server, open a new terminal window and verify it's working
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curl http://localhost:5050/inference/chat_completion \
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-H "Content-Type: application/json" \
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-d '{
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"model": "llama3.2:1b",
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"model": "Llama3.2-3B-Instruct",
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Write me a 2-sentence poem about the moon"}
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@ -106,6 +116,8 @@ curl http://localhost:5050/inference/chat_completion \
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}'
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```
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You can check the available models with the command `llama-stack-client models list`.
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**Expected Output:**
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```json
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{
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