- Update to version 0.4.0-rc8:

OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=62
2024-11-06 12:33:58 +00:00 · 2024-11-06 12:33:58 +00:00 · 7cc332278e
commit 7cc332278e
parent d5f830b976
6 changed files with 99 additions and 81 deletions
--- a/4
+++ b/4
@ -3,9 +3,9 @@
  <service name="obs_scm" mode="manual">
    <param name="url">https://github.com/ollama/ollama.git</param>
    <param name="scm">git</param>
-    <param name="revision">v0.4.0-rc6</param>
+    <param name="revision">v0.4.0-rc8</param>
    <param name="versionformat">@PARENT_TAG@</param>
-    <param name="versionrewrite-pattern">v(.*)-rc6</param>
+    <param name="versionrewrite-pattern">v(.*)-rc8</param>
    <param name="changesgenerate">enable</param>
    <param name="submodules">enable</param>
    <param name="exclude">macapp</param>
--- a/2
+++ b/2
@ -1,4 +1,4 @@
 <servicedata>
 <service name="tar_scm">
                <param name="url">https://github.com/ollama/ollama.git</param>
-              <param name="changesrevision">16f4eabe2d409b2b8a6e50fa08c8ce3a2a3b18d1</param></service></servicedata>
+              <param name="changesrevision">046054fa3bba6d6511bcf46ca53f3ee8bc972df6</param></service></servicedata>
--- a/ollama-0.4.0.obscpio
+++ b/ollama-0.4.0.obscpio
@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a170a1b1dad3a0414739389095d73562aa9e2038357f4fc1a4c5db344f836547
+oid sha256:bcbcbb9aa1cdde96a51a5bbf25f1b6a3cb97d71ed7589a17e68f9a30287bd450
-size 16461325
+size 16564237
--- a/ollama.changes
+++ b/ollama.changes
@ -1,5 +1,23 @@
 -------------------------------------------------------------------
-Fri Nov 01 02:18:50 UTC 2024 - eyadlorenzo@gmail.com
+Wed Nov 06 12:31:53 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Update to version 0.4.0-rc8:
  * CI: Switch to v13 macos runner (#7498)
  * CI: matrix strategy fix (#7496)
  * Sign windows arm64 official binaries (#7493)
  * readme: add TextCraft to community integrations (#7377)
  * nvidia libs have inconsistent ordering (#7473)
  * CI: omit unused tools for faster release builds (#7432)
  * llama: Improve error handling
  * runner.go: Only allocate 1 element embedding batches for mllama
  * refactor kv estimation
  * mllama cross attention
  * Add basic mllama integration tests (#7455)
  * runner.go: Don't set cross attention before sending embeddings
  * Give unicode test more time to run (#7437)
 -------------------------------------------------------------------
 Fri Nov 01 02:18:50 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Remove enable-lto.patch
@ -37,12 +55,12 @@ Wed Oct 30 01:47:37 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org
 - Update to version 0.3.14:
  * New Models
-    + Granite 3 MoE: The IBM Granite 1B and 3B models are the 
+    + Granite 3 MoE: The IBM Granite 1B and 3B models are the
-      first mixture of experts (MoE) Granite models from IBM 
+      first mixture of experts (MoE) Granite models from IBM
      designed for low latency usage.
-    + Granite 3 Dense: The IBM Granite 2B and 8B models are 
+    + Granite 3 Dense: The IBM Granite 2B and 8B models are
-      designed to support tool-based use cases and support for 
+      designed to support tool-based use cases and support for
-      retrieval augmented generation (RAG), streamlining code 
+      retrieval augmented generation (RAG), streamlining code
      generation, translation and bug fixing.
 -------------------------------------------------------------------
@ -53,21 +71,21 @@ Sat Oct 12 20:55:18 UTC 2024 - eyadlorenzo@gmail.com
    ~ Llama Guard 3: a series of models by Meta, fine-tuned for
      content safety classification of LLM inputs and responses.
    ~ ShieldGemma: ShieldGemma is set of instruction tuned models
-      from Google DeepMind for evaluating the safety of text 
+      from Google DeepMind for evaluating the safety of text
-      prompt input and text output responses against a set of 
+      prompt input and text output responses against a set of
      defined safety policies.
-  * Fixed issue where ollama pull would leave connections when 
+  * Fixed issue where ollama pull would leave connections when
    encountering an error
-  * ollama rm will now stop a model if it is running prior to 
+  * ollama rm will now stop a model if it is running prior to
    deleting it
 -------------------------------------------------------------------
 Sat Sep 28 03:53:10 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
 - Update to version 0.3.12:
-  * Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B 
+  * Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B
    models.
-  * Qwen 2.5 Coder: The latest series of Code-Specific Qwen 
+  * Qwen 2.5 Coder: The latest series of Code-Specific Qwen
-    models, with significant improvements in code generation, 
+    models, with significant improvements in code generation,
    code reasoning, and code fixing.
  * Ollama now supports ARM Windows machines
  * Fixed rare issue where Ollama would report a missing .dll
@ -241,23 +259,23 @@ Sun Aug 11 02:40:06 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org
 - Update to version 0.3.4:
 * New embedding models
-  - BGE-M3: a large embedding model from BAAI distinguished for 
+  - BGE-M3: a large embedding model from BAAI distinguished for
-    its versatility in Multi-Functionality, Multi-Linguality, and 
+    its versatility in Multi-Functionality, Multi-Linguality, and
    Multi-Granularity.
  - BGE-Large: a large embedding model trained in english.
-  - Paraphrase-Multilingual: A multilingual embedding model 
+  - Paraphrase-Multilingual: A multilingual embedding model
    trained on parallel data for 50+ languages.
 * New embedding API with batch support
-   - Ollama now supports a new API endpoint /api/embed for 
+   - Ollama now supports a new API endpoint /api/embed for
     embedding generation:
 * This API endpoint supports new features:
-   - Batches: generate embeddings for several documents in 
+   - Batches: generate embeddings for several documents in
     one request
-   - Normalized embeddings: embeddings are now normalized, 
+   - Normalized embeddings: embeddings are now normalized,
     improving similarity results
-   - Truncation: a new truncate parameter that will error if 
+   - Truncation: a new truncate parameter that will error if
     set to false
-   - Metrics: responses include load_duration, total_duration and 
+   - Metrics: responses include load_duration, total_duration and
     prompt_eval_count metrics
 -------------------------------------------------------------------
@ -268,17 +286,17 @@ Sat Aug 03 09:41:56 UTC 2024 - eyadlorenzo@gmail.com
    load_duration, and prompt_eval_count
  * Added usage metrics to the /v1/embeddings OpenAI compatibility
    API
-  * Fixed issue where /api/generate would respond with an empty 
+  * Fixed issue where /api/generate would respond with an empty
    string if provided a context
-  * Fixed issue where /api/generate would return an incorrect 
+  * Fixed issue where /api/generate would return an incorrect
    value for context
  * /show modefile will now render MESSAGE commands correctly
 - Update to version 0.3.2:
-  * Fixed issue where ollama pull would not resume download 
+  * Fixed issue where ollama pull would not resume download
    progress
  * Fixed issue where phi3 would report an error on older versions
-  
+
 -------------------------------------------------------------------
 Tue Jul 30 07:08:37 UTC 2024 - Adrian Schröter <adrian@suse.de>
@ -343,16 +361,16 @@ Wed Jul 24 14:28:08 UTC 2024 - adrian@suse.de
 -------------------------------------------------------------------
 Thu Jul 18 13:09:10 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
- Fixed issue with shared libraries 
+- Fixed issue with shared libraries
 -------------------------------------------------------------------
 Thu Jul 18 12:27:54 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Added %check section
- Use -v when building 
+- Use -v when building
 - Update to version 0.2.6:
-  * New models: MathΣtral is a 7B model designed for math 
+  * New models: MathΣtral is a 7B model designed for math
    reasoning and scientific discovery by Mistral AI.
  * Fixed issue where uppercase roles such as USER would no longer
    work in the chat endpoints
@ -366,62 +384,62 @@ Sun Jul 14 17:48:36 UTC 2024 - eyadlorenzo@gmail.com
  * Fixed issue where a model's SYSTEM message not be applied
 - Update to version 0.2.4:
-  * Fixed issue where context, load_duration and total_duration 
+  * Fixed issue where context, load_duration and total_duration
    fields would not be set in the /api/generate endpoint.
-  * Ollama will no longer error if loading models larger than 
+  * Ollama will no longer error if loading models larger than
    system memory if disk space is available
 - Update to version 0.2.3:
  * Fix issue where system prompt would not be applied
 - Update to version 0.2.2:
-  * Fixed errors that occurred when using Ollama with Nvidia V100 
+  * Fixed errors that occurred when using Ollama with Nvidia V100
    GPUs
  * glm4 models will no longer fail to load from out of memory
    errors
-  * Fixed error that would occur when running deepseek-v2 and 
+  * Fixed error that would occur when running deepseek-v2 and
    deepseek-coder-v2 models
  * Fixed a series of out of memory issues when using Nvidia
    GPUs
-  * Fixed a series of errors that would occur when using multiple 
+  * Fixed a series of errors that would occur when using multiple
    Radeon GPUs
 - Update to version 0.2.1:
-  * Fixed issue where setting OLLAMA_NUM_PARALLEL would cause 
+  * Fixed issue where setting OLLAMA_NUM_PARALLEL would cause
    models to be reloaded after each request
 - Update to version 0.2.0:
-  * Ollama 0.2.0 is now available with concurrency support. 
+  * Ollama 0.2.0 is now available with concurrency support.
    This unlocks 2 specific features:
    ~ Ollama can now serve multiple requests at the same time
    ~ Ollama now supports loading different models at the same time
-  * New models: GLM-4: A strong multi-lingual general language 
+  * New models: GLM-4: A strong multi-lingual general language
    model with competitive performance to Llama 3.
-  * New models: CodeGeeX4: A versatile model for AI software 
+  * New models: CodeGeeX4: A versatile model for AI software
    development scenarios, including code completion.
-  * New models: Gemma 2: Improved output quality and base text 
+  * New models: Gemma 2: Improved output quality and base text
    generation models now available
-  * Ollama will now show a better error if a model architecture 
+  * Ollama will now show a better error if a model architecture
    isn't supported
  * Improved handling of quotes and spaces in Modelfile FROM lines
-  * Ollama will now return an error if the system does not have 
+  * Ollama will now return an error if the system does not have
    enough memory to run a model on Linux
 -------------------------------------------------------------------
 Sun Jul 07 19:18:11 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Update to version 0.1.48:
-  * Fixed issue where Gemma 2 would continuously output when 
+  * Fixed issue where Gemma 2 would continuously output when
    reaching context limits
  * Fixed out of memory and core dump errors when running Gemma 2
  * /show info will now show additional model information in
    ollama run
-  * Fixed issue where ollama show would result in an error on 
+  * Fixed issue where ollama show would result in an error on
    certain vision models
 - Update to version 0.1.48:
  * Added support for Google Gemma 2 models (9B and 27B)
  * Fixed issues with ollama create when importing from Safetensors
-  
+
 -------------------------------------------------------------------
 Mon Jun 24 10:11:17 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
@ -456,44 +474,44 @@ Sat Jun 22 10:08:00 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 -------------------------------------------------------------------
 Tue Jun 18 12:12:41 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
- Added documentation files to .spec 
+- Added documentation files to .spec
 - Update to version 0.1.44:
-  * Fixed issue where unicode characters such as emojis would not 
+  * Fixed issue where unicode characters such as emojis would not
    be loaded correctly when running ollama create
  * Fixed certain cases where Nvidia GPUs would not be detected and
    reported as compute capability 1.0 devices
 - Update to version 0.1.43:
-  * New import.md guide for converting and importing models to 
+  * New import.md guide for converting and importing models to
    Ollama
-  * Fixed issue where embedding vectors resulting from 
+  * Fixed issue where embedding vectors resulting from
    /api/embeddings would not be accurate
-  * JSON mode responses will no longer include invalid escape 
+  * JSON mode responses will no longer include invalid escape
    characters
-  * Removing a model will no longer show incorrect File not found 
+  * Removing a model will no longer show incorrect File not found
    errors
-  * Fixed issue where running ollama create would result in an 
+  * Fixed issue where running ollama create would result in an
    error on Windows with certain file formatting
 - Update to version 0.1.42:
-  * New models: Qwen 2: a new series of large language models 
+  * New models: Qwen 2: a new series of large language models
    from Alibaba group
-  * Qwen 2: a new series of large language models from Alibaba 
+  * Qwen 2: a new series of large language models from Alibaba
    group
-  * ollama pull is now faster if it detects a model is already 
+  * ollama pull is now faster if it detects a model is already
    downloaded
  * ollama create will now automatically detect prompt templates
-    for popular model architectures such as Llama, Gemma, Phi and 
+    for popular model architectures such as Llama, Gemma, Phi and
    more.
-  * Ollama can now be accessed from local apps built with Electron 
+  * Ollama can now be accessed from local apps built with Electron
    and Tauri, as well as in developing apps in local html files
  * Update welcome prompt in Windows to llama3
-  * Fixed issues where /api/ps and /api/tags would show invalid 
+  * Fixed issues where /api/ps and /api/tags would show invalid
    timestamps in responses
 - Update to version 0.1.41:
-  * Fixed issue on Windows 10 and 11 with Intel CPUs with 
+  * Fixed issue on Windows 10 and 11 with Intel CPUs with
    integrated GPUs where Ollama would encounter an error
 -------------------------------------------------------------------
@ -503,12 +521,12 @@ Sat Jun 01 21:12:20 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
  * New model: Codestral: Codestral is Mistral AI’s first-ever code
  	model designed for code generation tasks.
  * New model: IBM Granite Code: now in 3B and 8B parameter sizes.
-  * New model: Deepseek V2: A Strong, Economical, and Efficient 
+  * New model: Deepseek V2: A Strong, Economical, and Efficient
  	Mixture-of-Experts Language Model
-  * Fixed out of memory and incorrect token issues when running 
+  * Fixed out of memory and incorrect token issues when running
  	Codestral on 16GB Macs
-  * Fixed issue where full-width characters (e.g. Japanese, 
+  * Fixed issue where full-width characters (e.g. Japanese,
-  	Chinese, Russian) were deleted at end of the line when using 
+  	Chinese, Russian) were deleted at end of the line when using
  	ollama run
 -------------------------------------------------------------------
@ -517,9 +535,9 @@ Wed May 29 11:38:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Update to version 0.1.39:
  * New model: Cohere Aya 23: A new state-of-the-art, multilingual
  	LLM covering 23 different languages.
-  * New model: Mistral 7B 0.3: A new version of Mistral 7B with 
+  * New model: Mistral 7B 0.3: A new version of Mistral 7B with
  	initial support for function calling.
-  * New model: Phi-3 Medium: a 14B parameters, lightweight, 
+  * New model: Phi-3 Medium: a 14B parameters, lightweight,
  	state-of-the-art open model by Microsoft.
  * New model: Phi-3 Mini 128K and Phi-3 Medium 128K: versions of
  	the Phi-3 models that support a context window size of 128K
@ -527,7 +545,7 @@ Wed May 29 11:38:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
  	IBM for Code Intelligence
  * It is now possible to import and quantize Llama 3 and its
  	finetunes from Safetensors format to Ollama.
-  * Full changelog at 
+  * Full changelog at
  	https://github.com/ollama/ollama/releases/tag/v0.1.39
 -------------------------------------------------------------------
@ -541,7 +559,7 @@ Thu May 16 19:55:51 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Update to version 0.1.38:
  * New model: Falcon 2: A new 11B parameters causal decoder-only
    model built by TII and trained over 5T tokens.
-  * New model: Yi 1.5: A new high-performing version of Yi, now 
+  * New model: Yi 1.5: A new high-performing version of Yi, now
    licensed as Apache 2.0. Available in 6B, 9B and 34B sizes.
  * Added ollama ps command
  * Added /clear command
@ -566,7 +584,7 @@ Sun May 12 19:05:53 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 Sun May 12 15:20:28 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
 - Use obs_scm service instead of the deprecated tar_scm
- Use zstd for vendor tarball compression 
+- Use zstd for vendor tarball compression
 -------------------------------------------------------------------
 Sun May 12 01:39:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
@ -604,11 +622,11 @@ Sun May 12 01:39:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
  * New model: CodeGemma 1.1
  * New model: StableLM2 12B
  * New model: Moondream 2
-  * Fixed issues with LLaVa models where they would respond 
+  * 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 
+  * Fixed out of memory errors when running large models such as
    Llama 3 70B
-  * Fixed various issues with Nvidia GPU discovery on Linux and 
+  * 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
@ -626,13 +644,13 @@ Sun May 12 01:39:26 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
  * 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 
+  * 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 
+  * Fixed out of memory errors when running Mixtral architecture
    models
  * Aded experimental concurrency features:
-    ~ OLLAMA_NUM_PARALLEL: Handle multiple requests simultaneously 
+    ~ OLLAMA_NUM_PARALLEL: Handle multiple requests simultaneously
      for a single model
    ~ OLLAMA_MAX_LOADED_MODELS: Load multiple models simultaneously
--- a/ollama.obsinfo
+++ b/ollama.obsinfo
@ -1,4 +1,4 @@
 name: ollama
 version: 0.4.0
-mtime: 1730325945
+mtime: 1730754127
-commit: 16f4eabe2d409b2b8a6e50fa08c8ce3a2a3b18d1
+commit: 046054fa3bba6d6511bcf46ca53f3ee8bc972df6
--- a/vendor.tar.zstd
+++ b/vendor.tar.zstd
@ -1,3 +1,3 @@
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-size 5367921
+size 5367830