diff --git a/ollama/docker-compose.yml b/ollama/docker-compose.yml
index a4d25017bc..4b74f47e6b 100644
--- a/ollama/docker-compose.yml
+++ b/ollama/docker-compose.yml
@@ -8,7 +8,7 @@ services:
       PROXY_AUTH_ADD: "false"
 
   ollama:
-    image: ollama/ollama:0.17.4@sha256:b165fa2700dc374f8d4f9e8314d81c7be75487c76eee2b46ef4b511a496b736c
+    image: ollama/ollama:0.17.5@sha256:719122581b6932e1240ae70d788859089cb80d17e23cd4f98ba960b0290f70cb
     environment:
       OLLAMA_ORIGINS: "*"
       OLLAMA_CONTEXT_LENGTH: 8192
diff --git a/ollama/umbrel-app.yml b/ollama/umbrel-app.yml
index b018446f38..2d1a553316 100644
--- a/ollama/umbrel-app.yml
+++ b/ollama/umbrel-app.yml
@@ -3,7 +3,7 @@ id: ollama
 name: Ollama
 tagline: Self-host open source AI models like DeepSeek-R1, Llama, and more
 category: ai
-version: "0.17.4"
+version: "0.17.5"
 port: 11434
 description: >-
   Ollama allows you to download and run advanced AI models directly on your own hardware. Self-hosting AI models ensures full control over your data and protects your privacy.
@@ -38,16 +38,15 @@ defaultUsername: ""
 defaultPassword: ""
 dependencies: []
 releaseNotes: >-
-  This release adds new models and improvements to tool call handling.
+  This release fixes crashes and memory issues in Qwen 3.5 models.
 
 
   Key highlights in this release:
-    - New Qwen 3.5 multimodal model family is now available
-    - New LFM2 hybrid model family optimized for on-device deployment is now available
-    - Tool call indices are now included in parallel tool calls
-    - Fixed tool calls in Qwen 3 and Qwen 3.5 not being parsed correctly during thinking
-    - Added Nemotron architecture support
-    - Web search capabilities added for models that support tools
+    - Fixed crash in Qwen 3.5 models when split over GPU and CPU
+    - Fixed Qwen 3.5 models repeating themselves due to missing presence penalty (you may need to re-download affected models, e.g. `ollama pull qwen3.5:35b`)
+    - Fixed memory issues and crashes in the MLX runner
+    - Fixed inability to run models imported from Qwen 3.5 GGUF files
+    - `ollama run --verbose` now shows peak memory usage when using the MLX engine
 
 
   Full release notes are available at https://github.com/ollama/ollama/releases