Ollama - Package Updates
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[1.0.1]
- Update ollama to 0.12.10
- Full Changelog
ollama runnow works with embedding models- Fixed errors when running
qwen3-vl:235bandqwen3-vl:235b-instruct - Enable flash attention for Vulkan (currently needs to be built from source)
- Add Vulkan memory detection for Intel GPU using DXGI+PDH
- Ollama will now return tool call IDs from the
/api/chatAPI - Fixed hanging due to CPU discovery
- Ollama will now show login instructions when switching to a cloud model in interactive mode
- Fix reading stale VRAM data
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[1.0.2]
- Update ollama to 0.12.11
- Full Changelog
- Ollama's API and the OpenAI-compatible API now supports Logprobs
- Ollama's new app now supports WebP images
- Improved rendering performance in Ollama's new app, especially when rendering code
- The "required" field in tool definitions will now be omitted if not specified
- Fixed issue where "tool_call_id" would be omitted when using the OpenAI-compatible API.
- Fixed issue where
ollama createwould import data from bothconsolidated.safetensorsand other safetensor files. - Ollama will now prefer dedicated GPUs over iGPUs when scheduling models
- Vulkan can now be enabled by setting
OLLAMA_VULKAN=1. For example:OLLAMA_VULKAN=1 ollama serve
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[1.1.0]
- Update ollama to 0.13.0
- Full Changelog
- DeepSeek-OCR is now supported
- DeepSeek-V3.1 architecture is now supported in Ollama's engine
- Fixed performance issues that arose in Ollama 0.12.11 on CUDA
- Fixed issue where Linux install packages were missing required Vulkan libraries
- Improved CPU and memory detection while in containers/cgroups
- Improved VRAM information detection for AMD GPUs
- Improved KV cache performance to no longer require defragmentation
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[1.1.1]
- Update ollama to 0.13.1
- Full Changelog
- nomic-embed-text will now use Ollama's engine by default
- Tool calling support for
cogito-v2.1 - Fixed issues with CUDA VRAM discovery
- Fixed link to docs in Ollama's app
- Fixed issue where models would be evicted on CPU-only systems
- Ollama will now better render errors instead of showing
Unmarshal:errors - Fixed issue where CUDA GPUs would fail to be detected with older GPUs
- Added thinking and tool parsing for cogito-v2.1
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[1.1.2]
- Increase the proxy read timeout to 1h
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[1.1.3]
- Disable body size check within the app
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[1.1.4]
- Update ollama to 0.13.3
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[1.1.5]
- Update ollama to 0.13.4
- Full Changelog
- Nemotron 3 Nano: A new Standard for Efficient, Open, and Intelligent Agentic Models
- Olmo 3 and Olmo 3.1: A series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.
- Enable Flash Attention automatically for models by default
- Fixed handling of long contexts with Gemma 3 models
- Fixed issue that would occur with Gemma 3 QAT models or other models imported with the Gemma 3 architecture
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[1.1.6]
- Update ollama to 0.13.5
- Full Changelog
- Google's FunctionGemma is now available on Ollama
bertarchitecture models now run on Ollama's engine- Added built-in renderer & tool parsing capabilities for DeepSeek-V3.1
- Fixed issue where nested properties in tools may not have been rendered properly
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[1.2.0]
- Update ollama to 0.14.0
- Full Changelog
- ollama run --experimental CLI will now open a new Ollama CLI that includes an agent loop and the bash tool
- Anthropic API compatibility: support for the /v1/messages API
- A new REQUIRES command for the Modelfile allows declaring which version of Ollama is required for the model
- For older models, Ollama will avoid an integer underflow on low VRAM systems during memory estimation
- More accurate VRAM measurements for AMD iGPUs
- Ollama's app will now highlight swift soure code
- An error will now return when embeddings return NaN or -Inf
- Ollama's Linux install bundles files now use zst compression
- New experimental support for image generation models, powered by MLX
