Accepting request 1222485 from science:machinelearning
OBS-URL: https://build.opensuse.org/request/show/1222485 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/ollama?expand=0&rev=24
This commit is contained in:
Dominique Leuenberger
Git OBS Bridge
commit
d62d34d2ac
2
_service
2
_service
@ -3,7 +3,7 @@
|
||||
<service name="obs_scm" mode="manual">
|
||||
<param name="url">https://github.com/ollama/ollama.git</param>
|
||||
<param name="scm">git</param>
|
||||
<param name="revision">v0.3.14</param>
|
||||
<param name="revision">v0.4.0</param>
|
||||
<param name="versionformat">@PARENT_TAG@</param>
|
||||
<param name="versionrewrite-pattern">v(.*)</param>
|
||||
<param name="changesgenerate">enable</param>
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
<servicedata>
|
||||
<service name="tar_scm">
|
||||
<param name="url">https://github.com/ollama/ollama.git</param>
|
||||
<param name="changesrevision">f2890a4494f9fb3722ee7a4c506252362d1eab65</param></service></servicedata>
|
||||
<param name="changesrevision">9d71bcc3e2a97c8e62d758450f43aa212346410e</param></service></servicedata>
|
||||
@ -1,20 +0,0 @@
|
||||
--- a/llm/generate/gen_linux.sh.orig 2024-09-17 12:52:41.511508050 +0200
|
||||
+++ b/llm/generate/gen_linux.sh 2024-09-17 13:01:55.316347171 +0200
|
||||
@@ -52,7 +52,7 @@
|
||||
export CUDACXX=$(command -v nvcc)
|
||||
fi
|
||||
fi
|
||||
-COMMON_CMAKE_DEFS="-DCMAKE_SKIP_RPATH=on -DBUILD_SHARED_LIBS=on -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"
|
||||
+COMMON_CMAKE_DEFS="-DCMAKE_SKIP_RPATH=on -DBUILD_SHARED_LIBS=on -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 -DGGML_LTO=on"
|
||||
source $(dirname $0)/gen_common.sh
|
||||
init_vars
|
||||
git_module_setup
|
||||
@@ -95,7 +95,7 @@
|
||||
# -DGGML_AVX512_VBMI -- 2018 Intel Cannon Lake
|
||||
# -DGGML_AVX512_VNNI -- 2021 Intel Alder Lake
|
||||
|
||||
- COMMON_CPU_DEFS="-DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_OPENMP=off"
|
||||
+ COMMON_CPU_DEFS="-DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_OPENMP=off -DGGML_LTO=on"
|
||||
if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu" ]; then
|
||||
#
|
||||
# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
|
||||
BIN
ollama-0.3.14.obscpio
(Stored with Git LFS)
BIN
ollama-0.3.14.obscpio
(Stored with Git LFS)
Binary file not shown.
BIN
ollama-0.4.0.obscpio
(Stored with Git LFS)
Normal file
BIN
ollama-0.4.0.obscpio
(Stored with Git LFS)
Normal file
Binary file not shown.
204
ollama.changes
204
ollama.changes
@ -1,14 +1,76 @@
|
||||
-------------------------------------------------------------------
|
||||
Thu Nov 07 12:06:09 UTC 2024 - adrian@suse.de
|
||||
|
||||
- Update to version 0.4.0:
|
||||
* Update README.md (#7516)
|
||||
* One corrupt manifest should not wedge model operations (#7515)
|
||||
* prompt: Use a single token when estimating mllama context size
|
||||
* readme: add Hexabot to the list of community integrations
|
||||
* Quiet down debug log of image payload (#7454)
|
||||
|
||||
-------------------------------------------------------------------
|
||||
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
|
||||
|
||||
- Update to version 0.4.0-rc6:
|
||||
* Refine default thread selection for NUMA systems (#7322)
|
||||
* runner.go: Better abstract vision model integration
|
||||
* Soften windows clang requirement (#7428)
|
||||
* Remove submodule and shift to Go server - 0.4.0 (#7157)
|
||||
* Move windows app out of preview (#7347)
|
||||
* windows: Support alt install paths, fit and finish (#6967)
|
||||
* add more tests for getting the optimal tiled canvas (#7411)
|
||||
* Switch windows to clang (#7407)
|
||||
* tests: Add test for Unicode processing
|
||||
* runner.go: Better handle return NULL values from llama.cpp
|
||||
* add mllama image processing to the generate handler (#7384)
|
||||
* Bump to latest Go 1.22 patch (#7379)
|
||||
* Fix deepseek deseret regex (#7369)
|
||||
* Better support for AMD multi-GPU on linux (#7212)
|
||||
* Fix unicode output on windows with redirect to file (#7358)
|
||||
* Fix incremental build file deps (#7361)
|
||||
* Improve dependency gathering logic (#7345)
|
||||
* fix #7247 - invalid image input (#7249)
|
||||
* integration: harden embedding test (#7306)
|
||||
* default to "FROM ." if a Modelfile isn't present (#7250)
|
||||
* Fix rocm windows build and clean up dependency gathering (#7305)
|
||||
* runner.go: Merge partial unicode characters before sending
|
||||
* readme: add Ollama for Swift to the community integrations (#7295)
|
||||
* server: allow vscode-webview origin (#7273)
|
||||
* image processing for llama3.2 (#6963)
|
||||
* llama: Decouple patching script from submodule (#7139)
|
||||
* llama: add compiler tags for cpu features (#7137)
|
||||
|
||||
-------------------------------------------------------------------
|
||||
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
|
||||
first mixture of experts (MoE) Granite models from IBM
|
||||
+ Granite 3 MoE: The IBM Granite 1B and 3B models are the
|
||||
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
|
||||
designed to support tool-based use cases and support for
|
||||
retrieval augmented generation (RAG), streamlining code
|
||||
+ Granite 3 Dense: The IBM Granite 2B and 8B models are
|
||||
designed to support tool-based use cases and support for
|
||||
retrieval augmented generation (RAG), streamlining code
|
||||
generation, translation and bug fixing.
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -19,21 +81,21 @@ 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
|
||||
prompt input and text output responses against a set of
|
||||
from Google DeepMind for evaluating the safety of text
|
||||
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
|
||||
models, with significant improvements in code generation,
|
||||
* Qwen 2.5 Coder: The latest series of Code-Specific Qwen
|
||||
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
|
||||
@ -207,23 +269,23 @@ 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
|
||||
its versatility in Multi-Functionality, Multi-Linguality, and
|
||||
- BGE-M3: a large embedding model from BAAI distinguished for
|
||||
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
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -234,17 +296,17 @@ 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>
|
||||
|
||||
@ -309,16 +371,16 @@ 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
|
||||
@ -332,62 +394,62 @@ 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>
|
||||
|
||||
@ -422,44 +484,44 @@ 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
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -469,12 +531,12 @@ 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,
|
||||
Chinese, Russian) were deleted at end of the line when using
|
||||
* Fixed issue where full-width characters (e.g. Japanese,
|
||||
Chinese, Russian) were deleted at end of the line when using
|
||||
ollama run
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -483,9 +545,9 @@ 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
|
||||
@ -493,7 +555,7 @@ 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
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -507,7 +569,7 @@ 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
|
||||
@ -532,7 +594,7 @@ 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>
|
||||
@ -570,11 +632,11 @@ 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
|
||||
@ -592,13 +654,13 @@ 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
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
name: ollama
|
||||
version: 0.3.14
|
||||
mtime: 1729191592
|
||||
commit: f2890a4494f9fb3722ee7a4c506252362d1eab65
|
||||
version: 0.4.0
|
||||
mtime: 1730848045
|
||||
commit: 9d71bcc3e2a97c8e62d758450f43aa212346410e
|
||||
|
||||
@ -17,7 +17,7 @@
|
||||
|
||||
|
||||
Name: ollama
|
||||
Version: 0.3.14
|
||||
Version: 0.4.0
|
||||
Release: 0
|
||||
Summary: Tool for running AI models on-premise
|
||||
License: MIT
|
||||
@ -26,7 +26,6 @@ Source: %{name}-%{version}.tar
|
||||
Source1: vendor.tar.zstd
|
||||
Source2: ollama.service
|
||||
Source3: %{name}-user.conf
|
||||
Patch0: enable-lto.patch
|
||||
BuildRequires: cmake >= 3.24
|
||||
BuildRequires: git
|
||||
BuildRequires: sysuser-tools
|
||||
|
||||
BIN
vendor.tar.zstd
(Stored with Git LFS)
BIN
vendor.tar.zstd
(Stored with Git LFS)
Binary file not shown.
Loading…
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Reference in New Issue
Block a user