- Update to version 0.2.5:
- Update to version 0.2.4: - Update to version 0.2.3: - Update to version 0.2.2: - Update to version 0.2.1: - Update to version 0.2.0: OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=31
This commit is contained in:
Git OBS Bridge
parent
3eccb0320d
commit
3ddd383b3c
2
_service
2
_service
@ -3,7 +3,7 @@
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<service name="obs_scm" mode="manual">
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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="revision">v0.1.48</param>
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<param name="revision">v0.2.5</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="changesgenerate">enable</param>
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@ -1,4 +1,4 @@
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<servicedata>
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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="changesrevision">717f7229eb4f9220d4070aae617923950643d327</param></service></servicedata>
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<param name="changesrevision">f7ee0123008dbdb3fd5954438d12196951b58b78</param></service></servicedata>
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@ -1,28 +1,28 @@
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diff --git a/llm/generate/gen_linux.sh b/llm/generate/gen_linux.sh
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index 28ce1f2..4193a43 100755
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index db2c6c3..8194cd9 100755
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--- a/llm/generate/gen_linux.sh
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+++ b/llm/generate/gen_linux.sh
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@@ -52,6 +52,7 @@ if [ -z "${CUDACXX}" ]; then
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fi
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fi
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COMMON_CMAKE_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DLLAMA_OPENMP=off"
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+COMMON_CMAKE_DEFS="${COMMON_CMAKE_DEFS} -DLLAMA_LTO=on -DCMAKE_BUILD_TYPE=Release"
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COMMON_CMAKE_DEFS="-DBUILD_SHARED_LIBS=off -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_OPENMP=off"
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+COMMON_CMAKE_DEFS="${COMMON_CMAKE_DEFS} -DGGML_LTO=on -DCMAKE_BUILD_TYPE=Release"
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source $(dirname $0)/gen_common.sh
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init_vars
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git_module_setup
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@@ -78,6 +79,7 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
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init_vars
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echo "OLLAMA_CUSTOM_CPU_DEFS=\"${OLLAMA_CUSTOM_CPU_DEFS}\""
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CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
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+ CMAKE_DEFS="${CMAKE_DEFS} -DLLAMA_LTO=on"
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CMAKE_DEFS="${OLLAMA_CUSTOM_CPU_DEFS} -DBUILD_SHARED_LIBS=off -DCMAKE_POSITION_INDEPENDENT_CODE=on ${CMAKE_DEFS}"
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+ CMAKE_DEFS="${CMAKE_DEFS} -DGGML_LTO=on"
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BUILD_DIR="../build/linux/${ARCH}/cpu"
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echo "Building custom CPU"
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build
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@@ -94,6 +96,7 @@ if [ -z "${OLLAMA_SKIP_CPU_GENERATE}" ]; then
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# -DLLAMA_AVX512_VNNI -- 2021 Intel Alder Lake
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# -DGGML_AVX512_VNNI -- 2021 Intel Alder Lake
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COMMON_CPU_DEFS="-DCMAKE_POSITION_INDEPENDENT_CODE=on -DLLAMA_NATIVE=off -DLLAMA_OPENMP=off"
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+ COMMON_CPU_DEFS="-DLLAMA_LTO=on -DCMAKE_BUILD_TYPE=Release"
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COMMON_CPU_DEFS="-DBUILD_SHARED_LIBS=off -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_OPENMP=off"
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+ COMMON_CPU_DEFS="-DGGML_LTO=on -DCMAKE_BUILD_TYPE=Release"
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if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu" ]; then
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#
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# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
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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 sha256:3ad003ac20a614eefd770e000e818729f1723b1299286479d9669211eeaed710
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size 160434702
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3
ollama-0.2.5.obscpio
Normal file
3
ollama-0.2.5.obscpio
Normal file
@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a19afdb4bd732dd717c5a97dc8baed30939f4cd74395c304876ef837d041d6f
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size 161660942
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@ -1,4 +1,51 @@
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-------------------------------------------------------------------
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Sun Jul 14 17:48:36 UTC 2024 - eyadlorenzo@gmail.com
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- Update to version 0.2.5:
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* Fixed issue where a model's SYSTEM message not be applied
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- Update to version 0.2.4:
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* Fixed issue where context, load_duration and total_duration
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fields would not be set in the /api/generate endpoint.
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* Ollama will no longer error if loading models larger than
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system memory if disk space is available
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- Update to version 0.2.3:
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* Fix issue where system prompt would not be applied
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- Update to version 0.2.2:
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* Fixed errors that occurred when using Ollama with Nvidia V100
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GPUs
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* glm4 models will no longer fail to load from out of memory
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errors
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* Fixed error that would occur when running deepseek-v2 and
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deepseek-coder-v2 models
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* Fixed a series of out of memory issues when using Nvidia
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GPUs
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* Fixed a series of errors that would occur when using multiple
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Radeon GPUs
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- Update to version 0.2.1:
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* Fixed issue where setting OLLAMA_NUM_PARALLEL would cause
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models to be reloaded after each request
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- Update to version 0.2.0:
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* Ollama 0.2.0 is now available with concurrency support.
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This unlocks 2 specific features:
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~ Ollama can now serve multiple requests at the same time
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~ Ollama now supports loading different models at the same time
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* New models: GLM-4: A strong multi-lingual general language
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model with competitive performance to Llama 3.
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* New models: CodeGeeX4: A versatile model for AI software
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development scenarios, including code completion.
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* New models: Gemma 2: Improved output quality and base text
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generation models now available
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* Ollama will now show a better error if a model architecture
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isn't supported
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* Improved handling of quotes and spaces in Modelfile FROM lines
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* Ollama will now return an error if the system does not have
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enough memory to run a model on Linux
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-------------------------------------------------------------------
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Sun Jul 07 19:18:11 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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- Update to version 0.1.48:
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@ -1,4 +1,4 @@
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name: ollama
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version: 0.1.48
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mtime: 1719628771
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commit: 717f7229eb4f9220d4070aae617923950643d327
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version: 0.2.5
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mtime: 1720908480
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commit: f7ee0123008dbdb3fd5954438d12196951b58b78
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@ -17,7 +17,7 @@
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Name: ollama
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Version: 0.1.48
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Version: 0.2.5
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Release: 0
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Summary: Tool for running AI models on-premise
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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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oid sha256:857f1af7a25e48841716d40b5226e61f6436ae38e322fb9b50e5e7aed379ee06
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size 5307324
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oid sha256:0a7dde5a5d4e0794b5a9b5e7dd865559a6625ef387a90d2843581d008a9c5af2
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size 5355013
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