Various fixes to docs and example manifests names (#613)

Author: ahg-g

README.md

@@ -19,7 +19,7 @@ This project is [alpha (0.2 release)](https://github.com/kubernetes-sigs/gateway
 
 ## Getting Started
 
-Follow our [Getting Started Guide](./pkg/README.md) to get the inference-extension up and running on your cluster!
+Follow our [Getting Started Guide](https://gateway-api-inference-extension.sigs.k8s.io/guides/) to get the inference-extension up and running on your cluster!
 
 See our website at https://gateway-api-inference-extension.sigs.k8s.io/ for detailed API documentation on leveraging our Kubernetes-native declarative APIs
 

config/manifests/inferencemodel.yaml

@@ -1,7 +1,7 @@
 apiVersion: inference.networking.x-k8s.io/v1alpha2
 kind: InferenceModel
 metadata:
-  name: tweet-summarizer
+  name: food-review
 spec:
   modelName: food-review
   criticality: Standard

config/manifests/vllm/gpu-deployment.yaml

@@ -235,12 +235,12 @@ spec:
           emptyDir: {}
         - name: config-volume
           configMap:
-            name: vllm-llama3.1-8b-adapters
+            name: vllm-llama3-8b-adapters
 ---
 apiVersion: v1
 kind: ConfigMap
 metadata:
-  name: vllm-llama3.1-8b-adapters
+  name: vllm-llama3-8b-adapters
 data:
   configmap.yaml: |
       vLLMLoRAConfig:

site-src/guides/adapter-rollout.md

@@ -37,9 +37,9 @@ Change the ConfigMap to match the following (note the new entry under models):
                 ensureExist:
                     models:
                     - id: food-review-1
-                      source: vineetsharma/qlora-adapter-Llama-2-7b-hf-TweetSumm
+                      source: Kawon/llama3.1-food-finetune_v14_r8
                     - id: food-review-2
-                      source: mahimairaja/tweet-summarization-llama-2-finetuned
+                      source: Kawon/llama3.1-food-finetune_v14_r8
 ```
 
 The new adapter version is applied to the model servers live, without requiring a restart.
@@ -121,11 +121,11 @@ Unload the older versions from the servers by updating the LoRA syncer ConfigMap
                 ensureExist:
                     models:
                     - id: food-review-2
-                      source: mahimairaja/tweet-summarization-llama-2-finetuned
+                      source: Kawon/llama3.1-food-finetune_v14_r8
                 ensureNotExist:
                     models:
                     - id: food-review-1
-                      source: vineetsharma/qlora-adapter-Llama-2-7b-hf-TweetSumm
+                      source: Kawon/llama3.1-food-finetune_v14_r8
 ```
 
 With this, all requests should be served by the new adapter version.

tools/dynamic-lora-sidecar/README.md

@@ -77,50 +77,27 @@ The sidecar supports the following command-line arguments:
 
 ## Example Configuration
 
-Here's an example of using the `defaultBaseModel` field to avoid repetition in your configuration:
+In this example, both adapters will use `meta-llama/Llama-3.1-8B-Instruct` as their base model:
 
 ```yaml
 apiVersion: v1
 kind: ConfigMap
 metadata:
-  name: vllm-llama2-7b-adapters
+  name: vllm-llama3-8b-adapters
 data:
   configmap.yaml: |
       vLLMLoRAConfig:
-        name: vllm-llama2-7b
+        name: vllm-llama3-8b
         port: 8000
-        defaultBaseModel: meta-llama/Llama-2-7b-hf
+        defaultBaseModel: meta-llama/Llama-3.1-8B-Instruct
         ensureExist:
           models:
-          - id: tweet-summary-1
-            source: vineetsharma/qlora-adapter-Llama-2-7b-hf-TweetSumm
-          - id: tweet-summary-2
-            source: mahimairaja/tweet-summarization-llama-2-finetuned  
+          - id: food-review-1
+            source: Kawon/llama3.1-food-finetune_v14_r8
+          - id: food-review-2
+            source: Kawon/llama3.1-food-finetune_v14_r8
 ```
 
-In this example, both adapters will use `meta-llama/Llama-2-7b-hf` as their base model without needing to specify it for each adapter individually.
-
-You can still override the default base model for specific adapters when needed:
-
-```yaml
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: vllm-mixed-adapters
-data:
-  configmap.yaml: |
-      vLLMLoRAConfig:
-        name: vllm-mixed
-        port: 8000
-        defaultBaseModel: meta-llama/Llama-2-7b-hf
-        ensureExist:
-          models:
-          - id: tweet-summary-1
-            source: vineetsharma/qlora-adapter-Llama-2-7b-hf-TweetSumm
-          - id: code-assistant
-            source: huggingface/code-assistant-lora
-            base-model: meta-llama/Llama-2-13b-hf  # Override for this specific adapter
-```
 ## Example Deployment
 
 The [deployment.yaml](deployment.yaml) file shows an example of deploying the sidecar with custom parameters: