fix: rewording

Signed-off-by: Jeff MAURY <jmaury@redhat.com>

docs/source/distributions/self_hosted_distro/podman-ai-lab.md

@@ -26,7 +26,7 @@ The `llamastack/distribution-podman-ai-lab` distribution consists of the followi
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
 
 
-You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Ollama supports GPU acceleration.
+You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Podman AI Lab supports GPU acceleration.
 
 ### Environment Variables
 
@@ -34,12 +34,12 @@ The following environment variables can be configured:
 
 - `LLAMA_STACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
 - `PODMAN_AI_LAB_URL`: URL of the Podman AI Lab server (default: `http://127.0.0.1:10434`)
-- `SAFETY_MODEL`: Safety model loaded into the Ollama server (default: `meta-llama/Llama-Guard-3-1B`)
+- `SAFETY_MODEL`: Safety model loaded into the Podman AI Lab server (default: `meta-llama/Llama-Guard-3-1B`)
 
 
 ## Setting up Podman AI Lab server
 
-Please check the [Podman AI Lab Documentation](https://github.com/containers/podman-desktop-extension-ai-lab) on how to install and run Ollama. After installing Ollama, you need to run `ollama serve` to start the server.
+Please check the [Podman AI Lab Documentation](https://github.com/containers/podman-desktop-extension-ai-lab) on how to install and run Podman AI Lab.
 
 
 If you are using Llama Stack Safety / Shield APIs, you will also need to pull and run the safety model.
@@ -47,7 +47,6 @@ If you are using Llama Stack Safety / Shield APIs, you will also need to pull an
 ```bash
 export SAFETY_MODEL="meta-llama/Llama-Guard-3-1B"
 
-# ollama names this model differently, and we must use the ollama name when loading the model
 export PODMAN_AI_LAB_SAFETY_MODEL="llama-guard3:1b"
 ```
 
@@ -81,7 +80,7 @@ docker run \
   -it \
   -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
   -v ~/.llama:/root/.llama \
-  -v ./llama_stack/templates/ollama/run-with-safety.yaml:/root/my-run.yaml \
+  -v ./llama_stack/templates/podman-ai-lab/run-with-safety.yaml:/root/my-run.yaml \
   llamastack/distribution-podman-ai-lab \
   --yaml-config /root/my-run.yaml \
   --port $LLAMA_STACK_PORT \

llama_stack/templates/podman-ai-lab/doc_template.md

@@ -14,7 +14,7 @@ The `llamastack/distribution-{{ name }}` distribution consists of the following
 
 {{ providers_table }}
 
-You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Ollama supports GPU acceleration.
+You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Podman AI Lab supports GPU acceleration.
 
 {% if run_config_env_vars %}
 ### Environment Variables
@@ -29,7 +29,7 @@ The following environment variables can be configured:
 
 ## Setting up Podman AI Lab server
 
-Please check the [Podman AI Lab Documentation](https://github.com/containers/podman-desktop-extension-ai-lab) on how to install and run Ollama. After installing Ollama, you need to run `ollama serve` to start the server.
+Please check the [Podman AI Lab Documentation](https://github.com/containers/podman-desktop-extension-ai-lab) on how to install and run Podman AI Lab.
 
 
 If you are using Llama Stack Safety / Shield APIs, you will also need to pull and run the safety model.
@@ -37,7 +37,6 @@ If you are using Llama Stack Safety / Shield APIs, you will also need to pull an
 ```bash
 export SAFETY_MODEL="meta-llama/Llama-Guard-3-1B"
 
-# ollama names this model differently, and we must use the ollama name when loading the model
 export PODMAN_AI_LAB_SAFETY_MODEL="llama-guard3:1b"
 ```
 
@@ -71,7 +70,7 @@ docker run \
   -it \
   -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
   -v ~/.llama:/root/.llama \
-  -v ./llama_stack/templates/ollama/run-with-safety.yaml:/root/my-run.yaml \
+  -v ./llama_stack/templates/podman-ai-lab/run-with-safety.yaml:/root/my-run.yaml \
   llamastack/distribution-{{ name }} \
   --yaml-config /root/my-run.yaml \
   --port $LLAMA_STACK_PORT \

llama_stack/templates/podman-ai-lab/podman_ai_lab.py

@@ -50,7 +50,7 @@ def get_distribution_template() -> DistributionTemplate:
 
     safety_model = ModelInput(
         model_id="${env.SAFETY_MODEL}",
-        provider_id="ollama",
+        provider_id="podman-ai-lab",
     )
     default_tool_groups = [
         ToolGroupInput(
@@ -131,7 +131,7 @@ def get_distribution_template() -> DistributionTemplate:
             ),
             "SAFETY_MODEL": (
                 "meta-llama/Llama-Guard-3-1B",
-                "Safety model loaded into the Ollama server",
+                "Safety model loaded into the Podman AI Lab server",
             ),
         },
     )

llama_stack/templates/podman-ai-lab/report.md

@@ -1,7 +1,7 @@
 # Report for Podman AI Lab distribution
 
 ## Supported Models
-| Model Descriptor | ollama |
+| Model Descriptor | Podman AI Lab |
 |:---|:---|
 | Llama-3-8B-Instruct | ❌ |
 | Llama-3-70B-Instruct | ❌ |

llama_stack/templates/podman-ai-lab/run-with-safety.yaml

@@ -109,7 +109,7 @@ metadata_store:
 models:
 - metadata: {}
   model_id: ${env.SAFETY_MODEL}
-  provider_id: ollama
+  provider_id: podman-ai-lab
   model_type: llm
 shields:
 - shield_id: ${env.SAFETY_MODEL}