updated quickstart

This commit is contained in:
Justin Lee 2024-11-21 10:43:02 -08:00
parent b02db28f9b
commit 3de8d94966

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@ -38,10 +38,6 @@ If you're looking for more specific topics like tool calling or agent setup, we
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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)
1. **Download Ollama App**:
- Go to [https://ollama.com/download](https://ollama.com/download).
- Download and unzip `Ollama-darwin.zip`.
- Run the `Ollama` application.
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@ -111,7 +107,7 @@ After setting up the server, open a new terminal window and verify it's working
curl http://localhost:5050/inference/chat_completion \
-H "Content-Type: application/json" \
-d '{
"model": "llama3.2:1b",
"model": "Llama3.2-3B-Instruct",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Write me a 2-sentence poem about the moon"}
@ -218,4 +214,4 @@ This command initializes the model to interact with your local Llama Stack insta
**Explore Example Apps**: Check out [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main/examples) for example applications built using Llama Stack.
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