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<package pkgid="22752971f6c94ddc002201f505f8a1af64d81d5265aaab83b96930acaca55c892376a1bfde0682ddbb18c195d1e10302c6a4a09567a2731a19f17d53b406616d" name="ollama" arch="src">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="421c1bd957d8e865c1e39a44c3bfc8f0a513ac9f69aea24220a0130c5dbe2424b1faa4741922966b15eda78d1365d7583341fc20494c0cb4e66335413438f7b8" name="ollama" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="2799351fb5aec954e1b1c56789892112a7db41182e4ef57ee92eeb4d6a46418c8dfb326c0b6c16b9507e4aacc737b090f625719bc6897183dd04616175b27ecb" name="ollama-cuda" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="b4af1aa23214382dd23f8adc5eaf7f26a9b334febd7a635a0619950f01845248e73c0ad5920c8369d39ff6585985a1be97263779b39f9ee1cddfa5dd0d2ccd6f" name="ollama-cuda-debuginfo" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="508ebe25bb8a23fd4be823cfb8aedd77bff926b6eb468d397f94c0ef2dcc9663378b931529e931f0fb2cb7ad8859e076cc2d9b9d8932abbfa2158e6ef80efb34" name="ollama-debuginfo" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="ab035e3c49136df063b7debb86bba3fc7fa90b199711f02e85ca481dc475f5a9be5c79313a70727fa9d1e04a254cc2568059f9285dc81e769ab317a9aade5544" name="ollama-debugsource" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="dad79903b4b05b03b0573efa67130d2acacefb598ee7f8b40195acda523522a325da71c54e9058e447c56992d5e56e4b0ba88b47bbc19c39aafedf3e9c3757be" name="ollama-vulkan" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
<package pkgid="dffa92aeb7aeb1c9d99aa95abfd79aeccbe033fc62d24eb7a144f88f12118feadaffd20e13b6e3ed319c567943b2a0fdf9d52c49270e1fb93150151ef4b7d81b" name="ollama-vulkan-debuginfo" arch="x86_64">
  <version epoch="0" ver="0.14.0" rel="bp160.1.2"/>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1750161600">- Update to version 0.9.1:
  * Tool calling reliability and performance has been improved for
    the following models: Magistral Llama 4 Mistral
    DeepSeek-R1-2508
  * Magistral now supports disabling thinking mode
  * Error messages that previously showed POST predict will now be
    more informative</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1751544000">- Update to version 0.9.5:
  * No notable changes.
- Update to version 0.9.4:
  * The directory in which models are stored can now be modified.
  * Tool calling with empty parameters will now work correctly
  * Fixed issue when quantizing models with the Gemma 3n
  architecture
- Update to version 0.9.3:
  * Ollama now supports Gemma 3n
  * Ollama will now limit context length to what the model was
  trained against to avoid strange overflow behavior
- Update to version 0.9.2:
  * Fixed issue where tool calls without parameters would not be
    returned correctly
  * Fixed does not support generate errors
  * Fixed issue where some special tokens would not be tokenized
  properly for some model architectures</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754395200">- Update to version 0.10.1:
  * No notable changes.
- Update to version 0.10.0:
  * ollama ps will now show the context length of loaded models
  * Improved performance in gemma3n models by 2-3x
  * Parallel request processing now defaults to 1
  * Fixed issue where tool calling would not work correctly with
    granite3.3 and mistral-nemo models
  * Fixed issue where Ollama's tool calling would not work
    correctly if a tool's name was part of of another one, such as
    add and get_address
  * Improved performance when using multiple GPUs by 10-30%
  * Ollama's OpenAI-compatible API will now support WebP images
  * Fixed issue where ollama show would report an error
  * ollama run will more gracefully display errors</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754481600">- Update to version 0.11.0:
  * New model: OpenAI gpt-oss 20B and 120B
  * Quantization - MXFP4 format</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1754568000">- Update to version 0.11.4:
  * openai: allow for content and tool calls in the same message
  * openai: when converting role=tool messages, propagate the tool
    name
  * openai: always provide reasoning
  * Bug fixes</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1756123200">- Update to version 0.11.7:
  * DeepSeek-V3.1 is now available to run via Ollama.
  * Fixed issue where multiple models would not be loaded on
    CPU-only systems
  * Ollama will now work with models who skip outputting the
    initial &lt;think&gt; tag (e.g. DeepSeek-V3.1)
  * Fixed issue where text would be emitted when there is no
    opening &lt;think&gt; tag from a model
  * Fixed issue where tool calls containing { or } would not be
    parsed correctly
- Update to version 0.11.6:
  * Improved performance when using flash attention
  * Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
  * Performance improvements for the gpt-oss models
  * Improved memory management for scheduling models on GPUs,
    leading to better VRAM utilization, model performance and less
    out of memory errors. These new memory estimations can be
    enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
    be enabled by default.
  * Improved multi-GPU scheduling and reduced VRAM allocation when
    using more than 2 GPUs
  * Fix error when parsing bad harmony tool calls
  * OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
    pure-CPU models
  * Fixed OpenAI-compatible API not supporting reasoning_effort</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1757419200">- Update to version 0.11.10:
  * Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
  * Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
  * gpt-oss now has flash attention enabled by default for systems
    that support it
  * Improved load times for gpt-oss</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1759579200">- Update to version 0.12.3:
  * New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
  * Fixed issue where tool calls provided as stringified JSON
    would not be parsed correctly
  * ollama push will now provide a URL to follow to sign in
  * Fixed issues where qwen3-coder would output unicode characters
    incorrectly
  * Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
  * A new web search API is now available in Ollama
  * Models with Qwen3's architecture including MoE now run in
    Ollama's new engine
  * Fixed issue where built-in tools for gpt-oss were not being
    rendered correctly
  * Support multi-regex pretokenizers in Ollama's new engine
  * Ollama's new engine can now load tensors by matching a prefix
    or suffix
- Update to version 0.12.1:
  * New model: Qwen3 Embedding: state of the art open embedding
    model by the Qwen team
  * Qwen3-Coder now supports tool calling
  * Fixed issue where Gemma3 QAT models would not output correct
    tokens
  * Fix issue where &amp; characters in Qwen3-Coder would not be parsed
    correctly when function calling
  * Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
  * Cloud models are now available in preview
  * Models with the Bert architecture now run on Ollama's engine
  * Models with the Qwen 3 architecture now run on Ollama's engine
  * Fixed issue where models would not be imported correctly with
    ollama create
  * Ollama will skip parsing the initial &lt;think&gt; if provided in
    the prompt for /api/generate
- Update to version 0.11.11:
  * Improved memory usage when using gpt-oss
  * Fixed error that would occur when attempting to import
    safetensor files
  * Improved memory estimates for hybrid and recurrent models
  * Fixed error that would occur when when batch size was greater
    than context length
  * Flash attention &amp; KV cache quantization validation fixes
  * Add dimensions field to embed requests
  * Enable new memory estimates in Ollama's new engine by default
  * Ollama will no longer load split vision models in the Ollama engine</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1760184000">- Update vendored golang.org/x/net/html to v0.45.0
  [boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
  * Fixed issue where "think": false would show an error instead of
    being silently ignored
  * Fixed deepseek-r1 output issues
- Update to version 0.12.4:
  * Flash attention is now enabled by default for Qwen 3 and Qwen 3
    Coder
  * Fixed an issue where keep_alive in the API would accept
    different values for the /api/chat and /api/generate endpoints
  * Fixed tool calling rendering with qwen3-coder
  * More reliable and accurate VRAM detection
  * OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
    that have flash attention enabled by default
  * Fixed crash where templates were not correctly defined</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1760788800">- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
  * Experimental Vulkan support
  * Ollama's app now supports searching when running DeepSeek-V3.1,
    Qwen3 and other models that support tool calling.
  * Flash attention is now enabled by default for Gemma 3,
    improving performance and memory utilization
  * Fixed issue where Ollama would hang while generating responses
  * Fixed issue where qwen3-coder would act in raw mode when using
    /api/generate or ollama run qwen3-coder &lt;prompt&gt;
  * Fixed qwen3-embedding providing invalid results
  * Ollama will now evict models correctly when num_gpu is set
  * Fixed issue where tool_index with a value of 0 would not be
    sent to the model
- Add ollama user to render group</changelog>
  <changelog author="Yoshio Sato &lt;vasua.ukraine@gmail.com&gt;" date="1761480000">- Require groups video and render instead of providing them while
  competing with the system-group-hardware package</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762084800">- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
  * Fix performance regression on CPU-only systems
- Update to version 0.12.8
  * qwen3-vl performance improvements, including flash attention
    support by default
  * qwen3-vl will now output less leading whitespace in the
    response when thinking
  * Fixed issue where deepseek-v3.1 thinking could not be disabled
    in Ollama's new app
  * Fixed issue where qwen3-vl would fail to interpret images with
    transparent backgrounds
  * Ollama will now stop running a model before removing it via
    ollama rm
  * Fixed issue where prompt processing would be slower on
    Ollama's engine
- Update to version 0.12.7
  * New model: Qwen3-VL: Qwen3-VL is now available in all parameter
    sizes ranging from 2B to 235B
  * New model: MiniMax-M2: a 230 Billion parameter model built for
    coding &amp; agentic workflows available on Ollama's cloud
  * Model load failures now include more information on Windows
  * Fixed embedding results being incorrect when running
    embeddinggemma
  * Fixed gemma3n on Vulkan backend
  * Increased time allocated for ROCm to discover devices
  * Fixed truncation error when generating embeddings
  * Fixed request status code when running cloud models
  * The OpenAI-compatible /v1/embeddings endpoint now supports
    encoding_format parameter
  * Ollama will now parse tool calls that don't conform to
    {"name": name, "arguments": args} (thanks @rick-github!)
  * Fixed prompt processing reporting in the llama runner
  * Increase speed when scheduling models
  * Fixed issue where FROM &lt;model&gt; would not inherit RENDERER or
    PARSER commands</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1762516800">- Update to version 0.12.10
  * Fixed errors when running qwen3-vl:235b and
    qwen3-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/chat API
  * 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
  * 'ollama run' now works with embedding models</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1762776000">- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
  and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
  will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
  Vulkan, CUDA and ROCm modules are recommended.</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1763812800">- Update to version 0.13.0
  * New models: DeepSeek-OCR, Cogito-V2.1
  * 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
- Update to version 0.12.11
  * Ollama's API and the OpenAI-compatible API now supports
    Logprobs, see:
    https://cookbook.openai.com/examples/using_logprobs) and
    https://github.com/ollama/ollama/releases/tag/v0.12.11
  * 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 create would import data from both
    consolidated.safetensors and 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</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1764849600">- Update to version 0.13.1:
  * New models: Ministral-3, Mistral-Large-3
  * nomic-embed-text will now use Ollama's engine by default
  * Tool calling support for cogito-v2.1
  * Ollama will now better render errors instead of showing
    Unmarshal: errors</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1765972800">- Update vendored golang.org/x/net/html to v0.48.0
- Update to version 0.13.4:
  * New models: Nemotron 3 Nano, Olmo 3, Olmo 3.1
  * 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
- Update to version 0.13.3:
  * New models: Devstral-Small-2, rnj-1, nomic-embed-text-v2
  * Improved truncation logic when using /api/embed and
    /v1/embeddings
  * Extend Gemma 3 architecture to support rnj-1 model
  * Fix error that would occur when running qwen2.5vl with image
    input
- Update to version 0.13.2:
  * New models: Qwen3-Next
  * Flash attention is now enabled by default for vision models
    such as mistral-3, gemma3, qwen3-vl and more. This improves
    memory utilization and performance when providing images as
    input.
  * Fixed GPU detection on multi-GPU CUDA machines
  * Fixed issue where deepseek-v3.1 would always think even with
    thinking is disabled in Ollama's app</changelog>
  <changelog author="Glen Masgai &lt;glen.masgai@gmail.com&gt;" date="1766145600">- Added 'Requires:' tag for subpackages to spec file
- Update to version 0.13.5:
  * New models: FunctionGemma
  * 'bert' architecture models now run on Ollama's engine
  * Added built-in renderer &amp; tool parsing capabilities for
    DeepSeek-V3.1
  * Fixed issue where nested properties in tools may not have been
    rendered properly</changelog>
  <changelog author="Eyad Issa &lt;eyadlorenzo@gmail.com&gt;" date="1768392000">- Update to version 0.14.0:
  * 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
  * An error will now return when embeddings return NaN or -Inf</changelog>
  <changelog author="Egbert Eich &lt;eich@suse.com&gt;" date="1768564800">- Make sure we build for all architectures supported by CUDA.</changelog>
</package>
</otherdata>