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Update getting_started.md
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@ -4,10 +4,8 @@ The `llama` CLI tool helps you setup and use the Llama toolchain & agentic syste
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This guides allows you to quickly get started with building and running a Llama Stack server in < 5 minutes!
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In the following steps, we'll be working with a 8B-Instruct model. Since we are working with a 8B model, we will name our build `8b-instruct` to help us remember the config.
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## Quick Cheatsheet
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- Quick 3 line command to build and start a LlamaStack server using our Meta Reference implementation for all API endpoints.
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- Quick 3 line command to build and start a LlamaStack server using our Meta Reference implementation for all API endpoints with `conda` as build type.
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**`llama stack build`**
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```
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@ -84,8 +82,9 @@ INFO: Application startup complete.
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INFO: Uvicorn running on http://[::]:5000 (Press CTRL+C to quit)
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```
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## Step 1. Build
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We will start build our distribution (in the form of a Conda environment, or Docker image). In this step, we will specify:
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In the following steps, imagine we'll be working with a `Meta-Llama3.1-8B-Instruct` model. We will name our build `8b-instruct` to help us remember the config. We will start build our distribution (in the form of a Conda environment, or Docker image). In this step, we will specify:
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- `name`: the name for our distribution (e.g. `8b-instruct`)
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- `image_type`: our build image type (`conda | docker`)
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- `distribution_spec`: our distribution specs for specifying API providers
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