From 0d619b9f8e99bd074d8c463a44635f0147a7083e Mon Sep 17 00:00:00 2001
From: Ashwin Bharambe <ashwin@meta.com>
Date: Tue, 3 Sep 2024 18:48:29 -0700
Subject: [PATCH] Change name of build for less confusion

---
 docs/cli_reference.md | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/cli_reference.md b/docs/cli_reference.md
index d1b2ce554..626e970ec 100644
--- a/docs/cli_reference.md
+++ b/docs/cli_reference.md
@@ -309,16 +309,16 @@ To install a distribution, we run a simple command providing 2 inputs:
 - **Distribution Id** of the distribution that we want to install ( as obtained from the list-distributions command )
 - A **Name** for the specific build and configuration of this distribution.
 
-Let's imagine you are working with a 8B-Instruct model. The following command will build a package (in the form of a Conda environment) _and_ configure it. As part of the configuration, you will be asked for some inputs (model_id, max_seq_len, etc.)
+Let's imagine you are working with a 8B-Instruct model. The following command will build a package (in the form of a Conda environment) _and_ configure it. As part of the configuration, you will be asked for some inputs (model_id, max_seq_len, etc.) Since we are working with a 8B model, we will name our build `8b-instruct` to help us remember the config.
 
 ```
-llama stack build local --name llama-8b
+llama stack build local --name 8b-instruct
 ```
 
 Once it runs successfully , you should see some outputs in the form:
 
 ```
-$ llama stack build local --name llama-8b
+$ llama stack build local --name 8b-instruct
 ....
 ....
 Successfully installed cfgv-3.4.0 distlib-0.3.8 identify-2.6.0 libcst-1.4.0 llama_toolchain-0.0.2 moreorless-0.4.0 nodeenv-1.9.1 pre-commit-3.8.0 stdlibs-2024.5.15 toml-0.10.2 tomlkit-0.13.0 trailrunner-1.4.0 ufmt-2.7.0 usort-1.0.8 virtualenv-20.26.3
@@ -328,17 +328,17 @@ Successfully setup conda environment. Configuring build...
 ...
 ...
 
-YAML configuration has been written to ~/.llama/builds/local/conda/llama-8b.yaml
+YAML configuration has been written to ~/.llama/builds/local/conda/8b-instruct.yaml
 ```
 
 You can re-configure this distribution by running:
 ```
-llama stack configure local --name llama-8b
+llama stack configure local --name 8b-instruct
 ```
 
 Here is an example run of how the CLI will guide you to fill the configuration
 ```
-$ llama stack configure local --name llama-8b
+$ llama stack configure local --name 8b-instruct
 
 Configuring API: inference (meta-reference)
 Enter value for model (required): Meta-Llama3.1-8B-Instruct
@@ -358,7 +358,7 @@ Entering sub-configuration for prompt_guard_shield:
 Enter value for model (required): Prompt-Guard-86M
 ...
 ...
-YAML configuration has been written to ~/.llama/builds/local/conda/llama-8b.yaml
+YAML configuration has been written to ~/.llama/builds/local/conda/8b-instruct.yaml
 ```
 
 As you can see, we did basic configuration above and configured:
@@ -377,12 +377,12 @@ Now let’s start Llama Stack server.
 You need the YAML configuration file which was written out at the end by the `llama stack build` step.
 
 ```
-llama stack run local --name llama-8b --port 5000
+llama stack run local --name 8b-instruct --port 5000
 ```
 You should see the Stack server start and print the APIs that it is supporting,
 
 ```
-$ llama stack run local --name llama-8b --port 5000
+$ llama stack run local --name 8b-instruct --port 5000
 
 > initializing model parallel with size 1
 > initializing ddp with size 1
@@ -414,7 +414,7 @@ INFO:     Uvicorn running on http://[::]:5000 (Press CTRL+C to quit)
 
 
 > [!NOTE]
-> Configuration is in `~/.llama/builds/local/conda/llama-8b.yaml`. Feel free to increase `max_seq_len`.
+> Configuration is in `~/.llama/builds/local/conda/8b-instruct.yaml`. Feel free to increase `max_seq_len`.
 
 > [!IMPORTANT]
 > The "local" distribution inference server currently only supports CUDA. It will not work on Apple Silicon machines.