chore: set runAsUser to 0 for ray cluster sample and remove embedding…

… for qwen Signed-off-by: bjwswang <[email protected]>
bjwswang · Jan 25, 2024 · 778934e · 778934e
1 parent 83ebf9e
commit 778934e
Show file tree

Hide file tree

Showing 3 changed files with 51 additions and 47 deletions.
diff --git a/config/samples/ray.io_v1_raycluster.yaml b/config/samples/ray.io_v1_raycluster.yaml
@@ -13,51 +13,55 @@ spec:
           app.kubernetes.io/instance: raycluster
           app.kubernetes.io/name: kuberay
       spec:
+        securityContext:
+          runAsUser: 0
+          runAsGroup: 0
+          fsGroup: 0
         containers:
-        - image: kubeagi/ray-ml:2.9.0-py39-vllm
-          name: ray-head
-          resources:
-            limits:
-              cpu: "1"
-              memory: 2G
-              nvidia.com/gpu: 1
-            requests:
-              cpu: "1"
-              memory: 2G
-              nvidia.com/gpu: 1
-          volumeMounts:
-          - mountPath: /tmp/ray
-            name: log-volume
+          - image: kubeagi/ray-ml:2.9.0-py39-vllm
+            name: ray-head
+            resources:
+              limits:
+                cpu: "1"
+                memory: 2G
+                nvidia.com/gpu: 1
+              requests:
+                cpu: "1"
+                memory: 2G
+                nvidia.com/gpu: 1
+            volumeMounts:
+              - mountPath: /tmp/ray
+                name: log-volume
         volumes:
-        - emptyDir: {}
-          name: log-volume
-  workerGroupSpecs:
-  - groupName: workergroup
-    replicas: 0
-    minReplicas: 0
-    maxReplicas: 5
-    rayStartParams: {}
-    template:
-      metadata:
-        labels:
-          app.kubernetes.io/instance: raycluster
-          app.kubernetes.io/name: kuberay
-      spec:
-        containers:
-        - image: kubeagi/ray-ml:2.9.0-py39-vllm
-          name: ray-worker
-          resources:
-            limits:
-              cpu: "1"
-              memory: 1G
-              nvidia.com/gpu: 1
-            requests:
-              cpu: "1"
-              memory: 1G
-              nvidia.com/gpu: 1
-          volumeMounts:
-          - mountPath: /tmp/ray
+          - emptyDir: {}
             name: log-volume
-        volumes:
-        - emptyDir: {}
-          name: log-volume
+  workerGroupSpecs:
+    - groupName: workergroup
+      replicas: 0
+      minReplicas: 0
+      maxReplicas: 5
+      rayStartParams: {}
+      template:
+        metadata:
+          labels:
+            app.kubernetes.io/instance: raycluster
+            app.kubernetes.io/name: kuberay
+        spec:
+          containers:
+            - image: kubeagi/ray-ml:2.9.0-py39-vllm
+              name: ray-worker
+              resources:
+                limits:
+                  cpu: "1"
+                  memory: 1G
+                  nvidia.com/gpu: 1
+                requests:
+                  cpu: "1"
+                  memory: 1G
+                  nvidia.com/gpu: 1
+              volumeMounts:
+                - mountPath: /tmp/ray
+                  name: log-volume
+          volumes:
+            - emptyDir: {}
+              name: log-volume
diff --git a/deploy/charts/arcadia/Chart.yaml b/deploy/charts/arcadia/Chart.yaml
@@ -2,7 +2,7 @@ apiVersion: v2
 name: arcadia
 description: A Helm chart(KubeBB Component) for KubeAGI Arcadia
 type: application
-version: 0.2.17
+version: 0.2.18
 appVersion: "0.1.0"
 
 keywords:

diff --git a/deploy/charts/arcadia/templates/post-models.yaml b/deploy/charts/arcadia/templates/post-models.yaml
@@ -87,7 +87,7 @@ spec:
     arXiv: https://arxiv.org/abs/2309.16609
 
     通义为阿里云大模型的统一品牌,覆盖语言、听觉、多模态等领域,致力于实现类人智慧的通用智能。
-  types: "llm,embedding"
+  types: "llm"
 ---
 apiVersion: arcadia.kubeagi.k8s.com.cn/v1alpha1
 kind: Model