Accepting request 1173462 from science:machinelearning
OBS-URL: https://build.opensuse.org/request/show/1173462 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/ollama?expand=0&rev=4
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<service name="tar_scm" mode="manual">
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<service name="tar_scm" mode="manual">
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<param name="url">https://github.com/ollama/ollama.git</param>
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<param name="url">https://github.com/ollama/ollama.git</param>
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<param name="scm">git</param>
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<param name="scm">git</param>
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<param name="revision">v0.1.32</param>
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<param name="revision">v0.1.36</param>
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<param name="versionformat">@PARENT_TAG@</param>
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<param name="versionformat">@PARENT_TAG@</param>
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<param name="versionrewrite-pattern">v(.*)</param>
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<param name="versionrewrite-pattern">v(.*)</param>
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<param name="changesgenerate">enable</param>
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<param name="changesgenerate">enable</param>
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@ -1,4 +1,4 @@
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<servicedata>
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<servicedata>
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<service name="tar_scm">
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<service name="tar_scm">
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<param name="url">https://github.com/ollama/ollama.git</param>
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<param name="url">https://github.com/ollama/ollama.git</param>
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<param name="changesrevision">fb9580df85c562295d919b6c2632117d3d8cea89</param></service></servicedata>
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<param name="changesrevision">92ca2cca954e590abe5eecb0a87fa13cec83b0e1</param></service></servicedata>
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:69b648bcafa46320c876a83a817f4fc4ed6c8a8acc961d62f4adb017fa7ad053
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size 70152034
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3
ollama-0.1.36.tar.gz
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3
ollama-0.1.36.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:285ea18c73f9d8cbebd19ed429fb691a84853fa06366a6d206e74a9a5cfd2243
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size 87336304
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@ -1,3 +1,71 @@
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-------------------------------------------------------------------
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Sun May 12 01:39:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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- Update to version 0.1.36:
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* Fixed exit status 0xc0000005 error with AMD graphics cards on Windows
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* Fixed rare out of memory errors when loading a model to run with CPU
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- Update to version 0.1.35:
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* New models: Llama 3 ChatQA: A model from NVIDIA based on Llama
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3 that excels at conversational question answering (QA) and
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retrieval-augmented generation (RAG).
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* Quantization: ollama create can now quantize models when
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importing them using the --quantize or -q flag
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* Fixed issue where inference subprocesses wouldn't be cleaned up
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on shutdown.
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* Fixed a series out of memory errors when loading models on
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multi-GPU systems
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* Ctrl+J characters will now properly add newlines in ollama run
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* Fixed issues when running ollama show for vision models
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* OPTIONS requests to the Ollama API will no longer result in
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errors
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* Fixed issue where partially downloaded files wouldn't be
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cleaned up
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* Added a new done_reason field in responses describing why
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generation stopped responding
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* Ollama will now more accurately estimate how much memory
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is available on multi-GPU systems especially when running
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different models one after another
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- Update to version 0.1.34:
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* New model: Llava Llama 3
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* New model: Llava Phi 3
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* New model: StarCoder2 15B Instruct
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* New model: CodeGemma 1.1
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* New model: StableLM2 12B
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* New model: Moondream 2
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* Fixed issues with LLaVa models where they would respond
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incorrectly after the first request
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* Fixed out of memory errors when running large models such as
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Llama 3 70B
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* Fixed various issues with Nvidia GPU discovery on Linux and
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Windows
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* Fixed a series of Modelfile errors when running ollama create
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* Fixed no slots available error that occurred when cancelling a
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request and then sending follow up requests
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* Improved AMD GPU detection on Fedora
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* Improved reliability when using the experimental
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OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED flags
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* ollama serve will now shut down quickly, even if a model is
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loading
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- Update to version 0.1.33:
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* New model: Llama 3
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* New model: Phi 3 Mini
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* New model: Moondream
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* New model: Llama 3 Gradient 1048K
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* New model: Dolphin Llama 3
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* New model: Qwen 110B
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* Fixed issues where the model would not terminate, causing the
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API to hang.
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* Fixed a series of out of memory errors on Apple Silicon Macs
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* Fixed out of memory errors when running Mixtral architecture
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models
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* Aded experimental concurrency features:
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~ OLLAMA_NUM_PARALLEL: Handle multiple requests simultaneously
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for a single model
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~ OLLAMA_MAX_LOADED_MODELS: Load multiple models simultaneously
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Tue Apr 23 02:26:34 UTC 2024 - rrahl0@disroot.org
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Tue Apr 23 02:26:34 UTC 2024 - rrahl0@disroot.org
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@ -17,7 +17,7 @@
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Name: ollama
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Name: ollama
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Version: 0.1.32
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Version: 0.1.36
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Release: 0
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Release: 0
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Summary: Tool for running AI models on-premise
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Summary: Tool for running AI models on-premise
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License: MIT
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License: MIT
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@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:26f50ef1d227317f77b0a68eb9672f407c3bdd15ffcd3bf6011afdf9b7d3b5ff
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oid sha256:21390f2f5bbd12b7a6c134b3ced1bafe76b929f85077e273d6c8f378cb156eb2
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size 3669792
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size 4310640
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