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

_service

@@ -4,7 +4,7 @@
   <service name="tar_scm" mode="manual">
     <param name="url">https://github.com/ollama/ollama.git</param>
     <param name="scm">git</param>
-    <param name="revision">v0.1.32</param>
+    <param name="revision">v0.1.36</param>
     <param name="versionformat">@PARENT_TAG@</param>
     <param name="versionrewrite-pattern">v(.*)</param>
     <param name="changesgenerate">enable</param>

_servicedata

@@ -1,4 +1,4 @@
 <servicedata>
 <service name="tar_scm">
                 <param name="url">https://github.com/ollama/ollama.git</param>
-              <param name="changesrevision">fb9580df85c562295d919b6c2632117d3d8cea89</param></service></servicedata>
+              <param name="changesrevision">92ca2cca954e590abe5eecb0a87fa13cec83b0e1</param></service></servicedata>

ollama-0.1.32.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:69b648bcafa46320c876a83a817f4fc4ed6c8a8acc961d62f4adb017fa7ad053
-size 70152034

ollama-0.1.36.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:285ea18c73f9d8cbebd19ed429fb691a84853fa06366a6d206e74a9a5cfd2243
+size 87336304

ollama.changes

@@ -1,3 +1,71 @@
+-------------------------------------------------------------------
+Sun May 12 01:39:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
+
+- Update to version 0.1.36:
+  * Fixed exit status 0xc0000005 error with AMD graphics cards on Windows
+  * Fixed rare out of memory errors when loading a model to run with CPU
+
+- Update to version 0.1.35:
+  * New models: Llama 3 ChatQA: A model from NVIDIA based on Llama
+    3 that excels at conversational question answering (QA) and
+    retrieval-augmented generation (RAG).
+  * Quantization: ollama create can now quantize models when
+    importing them using the --quantize or -q flag
+  * Fixed issue where inference subprocesses wouldn't be cleaned up
+    on shutdown.
+  * Fixed a series out of memory errors when loading models on
+    multi-GPU systems
+  * Ctrl+J characters will now properly add newlines in ollama run
+  * Fixed issues when running ollama show for vision models
+  * OPTIONS requests to the Ollama API will no longer result in
+    errors
+  * Fixed issue where partially downloaded files wouldn't be
+    cleaned up
+  * Added a new done_reason field in responses describing why
+    generation stopped responding
+  * Ollama will now more accurately estimate how much memory
+    is available on multi-GPU systems especially when running
+    different models one after another
+
+- Update to version 0.1.34:
+  * New model: Llava Llama 3
+  * New model: Llava Phi 3
+  * New model: StarCoder2 15B Instruct
+  * New model: CodeGemma 1.1
+  * New model: StableLM2 12B
+  * New model: Moondream 2
+  * Fixed issues with LLaVa models where they would respond 
+    incorrectly after the first request
+  * Fixed out of memory errors when running large models such as 
+    Llama 3 70B
+  * Fixed various issues with Nvidia GPU discovery on Linux and 
+    Windows
+  * Fixed a series of Modelfile errors when running ollama create
+  * Fixed no slots available error that occurred when cancelling a
+    request and then sending follow up requests
+  * Improved AMD GPU detection on Fedora
+  * Improved reliability when using the experimental
+    OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED flags
+  * ollama serve will now shut down quickly, even if a model is
+    loading
+
+- Update to version 0.1.33:
+  * New model: Llama 3
+  * New model: Phi 3 Mini
+  * New model: Moondream
+  * New model: Llama 3 Gradient 1048K
+  * New model: Dolphin Llama 3
+  * New model: Qwen 110B
+  * Fixed issues where the model would not terminate, causing the 
+    API to hang.
+  * Fixed a series of out of memory errors on Apple Silicon Macs
+  * Fixed out of memory errors when running Mixtral architecture 
+    models
+  * Aded experimental concurrency features:
+    ~ OLLAMA_NUM_PARALLEL: Handle multiple requests simultaneously 
+      for a single model
+    ~ OLLAMA_MAX_LOADED_MODELS: Load multiple models simultaneously
+
 -------------------------------------------------------------------
 Tue Apr 23 02:26:34 UTC 2024 - rrahl0@disroot.org
 

ollama.spec

@@ -17,7 +17,7 @@
 
 
 Name:           ollama
-Version:        0.1.32
+Version:        0.1.36
 Release:        0
 Summary:        Tool for running AI models on-premise
 License:        MIT

vendor.tar.xz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 3669792
+oid sha256:21390f2f5bbd12b7a6c134b3ced1bafe76b929f85077e273d6c8f378cb156eb2
+size 4310640