Update ollama to v0.20.0 (#5282)

ollama/docker-compose.yml

@@ -8,7 +8,7 @@ services:
       PROXY_AUTH_ADD: "false"
 
   ollama:
-    image: ollama/ollama:0.19.0@sha256:bf240c2847a8bc7b2c630b85dab5d1dedcba257b551d5fc9b290ce544d59272a
+    image: ollama/ollama:0.20.0@sha256:6eb118589b440c05b62e7e5e73a0bdf7240f6c79d968e60e6fd49f919eee5733
     environment:
       OLLAMA_ORIGINS: "*"
       OLLAMA_CONTEXT_LENGTH: 8192

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: "0.19.0"
+version: "0.20.0"
 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.
@@ -39,11 +39,9 @@ defaultPassword: ""
 dependencies: []
 releaseNotes: >-
   Key highlights in this release:
-    - `ollama launch pi` now includes a web search plugin that uses Ollama's web search
-    - Improved KV cache hit rate when using the Anthropic-compatible API
-    - Fixed tool call parsing issue with Qwen3.5 where tool calls would appear in thinking output
-    - Fixed issue where flash attention would be incorrectly enabled for `grok` models
-    - Fixed `qwen3-next:80b` not loading in Ollama
+    - Added support for Gemma 4 models, including E2B, E4B, 26B (Mixture of Experts), and 31B (Dense) variants
+    - Improved MLX tokenizer support with SentencePiece-style BPE
+    - Fixed MLX tokenizer BOS token handling for better model compatibility
 
 
   Full release notes are available at https://github.com/ollama/ollama/releases