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Update ollama to version v0.17.5 #4956

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Merged
al-lac merged 1 commit into from
Mar 2, 2026
Merged

Update ollama to version v0.17.5 #4956

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2 changes: 1 addition & 1 deletion ollama/docker-compose.yml
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Original file line number Diff line number Diff line change
@@ -1,3 +1,3 @@
version: '3.7'

services:
Expand All @@ -8,7 +8,7 @@
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
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15 changes: 7 additions & 8 deletions ollama/umbrel-app.yml
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Expand Up @@ -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.
Expand Down Expand Up @@ -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
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