- Update to version 0.4.0-rc8:
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=62
This commit is contained in:
Git OBS Bridge
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d5f830b976
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|
||||
162
ollama.changes
162
ollama.changes
@ -1,5 +1,23 @@
|
||||
-------------------------------------------------------------------
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||||
Fri Nov 01 02:18:50 UTC 2024 - eyadlorenzo@gmail.com
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Wed Nov 06 12:31:53 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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- Update to version 0.4.0-rc8:
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* CI: Switch to v13 macos runner (#7498)
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* CI: matrix strategy fix (#7496)
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* Sign windows arm64 official binaries (#7493)
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* readme: add TextCraft to community integrations (#7377)
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* nvidia libs have inconsistent ordering (#7473)
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* CI: omit unused tools for faster release builds (#7432)
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* llama: Improve error handling
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* runner.go: Only allocate 1 element embedding batches for mllama
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* refactor kv estimation
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* mllama cross attention
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* Add basic mllama integration tests (#7455)
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* runner.go: Don't set cross attention before sending embeddings
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* Give unicode test more time to run (#7437)
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-------------------------------------------------------------------
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Fri Nov 01 02:18:50 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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- Remove enable-lto.patch
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@ -37,12 +55,12 @@ Wed Oct 30 01:47:37 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org
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- Update to version 0.3.14:
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* New Models
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+ Granite 3 MoE: The IBM Granite 1B and 3B models are the
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first mixture of experts (MoE) Granite models from IBM
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+ Granite 3 MoE: The IBM Granite 1B and 3B models are the
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first mixture of experts (MoE) Granite models from IBM
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designed for low latency usage.
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+ Granite 3 Dense: The IBM Granite 2B and 8B models are
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designed to support tool-based use cases and support for
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retrieval augmented generation (RAG), streamlining code
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+ Granite 3 Dense: The IBM Granite 2B and 8B models are
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designed to support tool-based use cases and support for
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retrieval augmented generation (RAG), streamlining code
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generation, translation and bug fixing.
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-------------------------------------------------------------------
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@ -53,21 +71,21 @@ Sat Oct 12 20:55:18 UTC 2024 - eyadlorenzo@gmail.com
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~ Llama Guard 3: a series of models by Meta, fine-tuned for
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content safety classification of LLM inputs and responses.
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~ ShieldGemma: ShieldGemma is set of instruction tuned models
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from Google DeepMind for evaluating the safety of text
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prompt input and text output responses against a set of
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from Google DeepMind for evaluating the safety of text
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prompt input and text output responses against a set of
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defined safety policies.
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* Fixed issue where ollama pull would leave connections when
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* Fixed issue where ollama pull would leave connections when
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encountering an error
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* ollama rm will now stop a model if it is running prior to
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* ollama rm will now stop a model if it is running prior to
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deleting it
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-------------------------------------------------------------------
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Sat Sep 28 03:53:10 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
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- Update to version 0.3.12:
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* Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B
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* Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B
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models.
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* Qwen 2.5 Coder: The latest series of Code-Specific Qwen
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models, with significant improvements in code generation,
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* Qwen 2.5 Coder: The latest series of Code-Specific Qwen
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models, with significant improvements in code generation,
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code reasoning, and code fixing.
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* Ollama now supports ARM Windows machines
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* Fixed rare issue where Ollama would report a missing .dll
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@ -241,23 +259,23 @@ Sun Aug 11 02:40:06 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org
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- Update to version 0.3.4:
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* New embedding models
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- BGE-M3: a large embedding model from BAAI distinguished for
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its versatility in Multi-Functionality, Multi-Linguality, and
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- BGE-M3: a large embedding model from BAAI distinguished for
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its versatility in Multi-Functionality, Multi-Linguality, and
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Multi-Granularity.
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- BGE-Large: a large embedding model trained in english.
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- Paraphrase-Multilingual: A multilingual embedding model
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- Paraphrase-Multilingual: A multilingual embedding model
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trained on parallel data for 50+ languages.
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* New embedding API with batch support
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- Ollama now supports a new API endpoint /api/embed for
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- Ollama now supports a new API endpoint /api/embed for
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embedding generation:
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* This API endpoint supports new features:
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- Batches: generate embeddings for several documents in
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- Batches: generate embeddings for several documents in
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one request
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- Normalized embeddings: embeddings are now normalized,
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- Normalized embeddings: embeddings are now normalized,
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improving similarity results
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- Truncation: a new truncate parameter that will error if
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- Truncation: a new truncate parameter that will error if
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set to false
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- Metrics: responses include load_duration, total_duration and
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- Metrics: responses include load_duration, total_duration and
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prompt_eval_count metrics
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|
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-------------------------------------------------------------------
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@ -268,17 +286,17 @@ Sat Aug 03 09:41:56 UTC 2024 - eyadlorenzo@gmail.com
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load_duration, and prompt_eval_count
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* Added usage metrics to the /v1/embeddings OpenAI compatibility
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API
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||||
* Fixed issue where /api/generate would respond with an empty
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* Fixed issue where /api/generate would respond with an empty
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string if provided a context
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* Fixed issue where /api/generate would return an incorrect
|
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* Fixed issue where /api/generate would return an incorrect
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value for context
|
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* /show modefile will now render MESSAGE commands correctly
|
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|
||||
- Update to version 0.3.2:
|
||||
* Fixed issue where ollama pull would not resume download
|
||||
* Fixed issue where ollama pull would not resume download
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progress
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||||
* Fixed issue where phi3 would report an error on older versions
|
||||
|
||||
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||||
-------------------------------------------------------------------
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||||
Tue Jul 30 07:08:37 UTC 2024 - Adrian Schröter <adrian@suse.de>
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@ -343,16 +361,16 @@ Wed Jul 24 14:28:08 UTC 2024 - adrian@suse.de
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||||
-------------------------------------------------------------------
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||||
Thu Jul 18 13:09:10 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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|
||||
- Fixed issue with shared libraries
|
||||
- Fixed issue with shared libraries
|
||||
|
||||
-------------------------------------------------------------------
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||||
Thu Jul 18 12:27:54 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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||||
|
||||
- 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
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work in the chat endpoints
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@ -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
|
||||
|
||||
|
||||
-------------------------------------------------------------------
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||||
Mon Jun 24 10:11:17 UTC 2024 - Eyad Issa <eyadlorenzo@gmail.com>
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||||
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||||
@ -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,
|
||||
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
|
||||
|
||||
-------------------------------------------------------------------
|
||||
@ -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
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
name: ollama
|
||||
version: 0.4.0
|
||||
mtime: 1730325945
|
||||
commit: 16f4eabe2d409b2b8a6e50fa08c8ce3a2a3b18d1
|
||||
mtime: 1730754127
|
||||
commit: 046054fa3bba6d6511bcf46ca53f3ee8bc972df6
|
||||
|
||||
@ -1,3 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f66046626b5f525abb5373c347640f617eb7bd368d2a7f7f5b298a1db6e2b7b7
|
||||
size 5367921
|
||||
oid sha256:a465edc1e925c1c066e9a5923c6dd3b0534f3cef0ee0d32646b84d1347a126e6
|
||||
size 5367830
|
||||
|
||||
Loading…
Reference in New Issue
Block a user