- Update to version 0.3.1:
* Added support for min_p sampling option
* Lowered number of requests required when downloading models
with ollama pull
* ollama create will now autodetect required stop parameters
when importing certain models
* Fixed issue where /save would cause parameters to be saved
incorrectly.
* OpenAI-compatible API will now return a finish_reason of
tool_calls if a tool call occured.
- fix build on leap 15.6
- exclude builds on 32bit due to build failures
OBS-URL: https://build.opensuse.org/request/show/1190611
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=41
- Update to version 0.3.0:
* Ollama now supports tool calling with popular models such
as Llama 3.1. This enables a model to answer a given prompt
using tool(s) it knows about, making it possible for models to
perform more complex tasks or interact with the outside world.
* New models:
~ Llama 3.1
~ Mistral Large 2
~ Firefunction v2
~ Llama-3-Groq-Tool-Use
* Fixed duplicate error message when running ollama create
OBS-URL: https://build.opensuse.org/request/show/1189982
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/ollama?expand=0&rev=15
* Ollama now supports tool calling with popular models such
as Llama 3.1. This enables a model to answer a given prompt
using tool(s) it knows about, making it possible for models to
perform more complex tasks or interact with the outside world.
* New models:
~ Llama 3.1
~ Mistral Large 2
~ Firefunction v2
~ Llama-3-Groq-Tool-Use
* Fixed duplicate error message when running ollama create
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=39
* api embed docs (#5282)
* convert: capture `head_dim` for mistral (#5818)
* Update llama.cpp submodule commit to `d94c6e0c` (#5805)
* server: collect nested tool call objects when parsing (#5824)
* Remove no longer supported max vram var
* Refine error reporting for subprocess crash
* Remove out of space test temporarily (#5825)
* llm: consider `head_dim` in llama arch (#5817)
* Adjust windows ROCm discovery
* add patch for tekken (#5807)
* preserve last assistant message (#5802)
* Fix generate test flakyness (#5804)
* server: validate template (#5734)
* OpenAI: Function Based Testing (#5752)
* adjust openai chat msg processing (#5729)
* fix parsing tool calls
* server: check for empty tools array too (#5779)
* always provide content even if empty (#5778)
* server: only parse tool calls if tools are provided (#5771)
* Fix context exhaustion integration test for small gpus
* Refine scheduler unit tests for reliability
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=37
- Fixed issue with shared libraries
- Added %check section
- Use -v when building
- Update to version 0.2.6:
* 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
* Fixed issue where empty system message would be included in the
prompt
OBS-URL: https://build.opensuse.org/request/show/1188404
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/ollama?expand=0&rev=13
* 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
* Fixed issue where empty system message would be included in the
prompt
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=33
- Update to version 0.1.48:
* 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
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
- Update to version 0.1.46:
* Docs (#5149)
* fix: quantization with template
* Fix use_mmap parsing for modelfiles
* Refine mmap default logic on linux
* Bump latest fedora cuda repo to 39
OBS-URL: https://build.opensuse.org/request/show/1186033
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/ollama?expand=0&rev=11
* 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
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
- Update to version 0.1.46:
* Docs (#5149)
* fix: quantization with template
* Fix use_mmap parsing for modelfiles
* Refine mmap default logic on linux
* Bump latest fedora cuda repo to 39
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=29
- 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
licensed as Apache 2.0. Available in 6B, 9B and 34B sizes.
* Added ollama ps command
* Added /clear command
* Fixed issue where switching loaded models on Windows would take
several seconds
* Running /save will no longer abort the chat session if an
incorrect name is provided
* The /api/tags API endpoint will now correctly return an empty
list [] instead of null if no models are provided
OBS-URL: https://build.opensuse.org/request/show/1174682
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=15
- Update to version 0.1.32:
* scale graph based on gpu count
* Support unicode characters in model path (#3681)
* darwin: no partial offloading if required memory greater than system
* update llama.cpp submodule to `7593639` (#3665)
* fix padding in decode
* Revert "cmd: provide feedback if OLLAMA_MODELS is set on non-serve command (#3470)" (#3662)
* Added Solar example at README.md (#3610)
* Update langchainjs.md (#2030)
* Added MindsDB information (#3595)
* examples: add more Go examples using the API (#3599)
* Update modelfile.md
* Add llama2 / torch models for `ollama create` (#3607)
* Terminate subprocess if receiving `SIGINT` or `SIGTERM` signals while model is loading (#3653)
* app: gracefully shut down `ollama serve` on windows (#3641)
* types/model: add path helpers (#3619)
* update llama.cpp submodule to `4bd0f93` (#3627)
* types/model: make ParseName variants less confusing (#3617)
* types/model: remove (*Digest).Scan and Digest.Value (#3605)
* Fix rocm deps with new subprocess paths
* mixtral mem
* Revert "types/model: remove (*Digest).Scan and Digest.Value (#3589)"
* types/model: remove (*Digest).Scan and Digest.Value (#3589)
* types/model: remove DisplayLong (#3587)
* types/model: remove MarshalText/UnmarshalText from Digest (#3586)
* types/model: init with Name and Digest types (#3541)
* server: provide helpful workaround hint when stalling on pull (#3584)
* partial offloading
* refactor tensor query
* api: start adding documentation to package api (#2878)
OBS-URL: https://build.opensuse.org/request/show/1169791
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=9
Update to version 0.1.31:
* Backport MacOS SDK fix from main
* Apply 01-cache.diff
* fix: workflows
* stub stub
* mangle arch
* only generate on changes to llm subdirectory
* only generate cuda/rocm when changes to llm detected
* Detect arrow keys on windows (#3363)
* add license in file header for vendored llama.cpp code (#3351)
* remove need for `$VSINSTALLDIR` since build will fail if `ninja` cannot be found (#3350)
* change `github.com/jmorganca/ollama` to `github.com/ollama/ollama` (#3347)
* malformed markdown link (#3358)
* Switch runner for final release job
* Use Rocky Linux Vault to get GCC 10.2 installed
* Revert "Switch arm cuda base image to centos 7"
* Switch arm cuda base image to centos 7
* Bump llama.cpp to b2527
* Fix ROCm link in `development.md`
* adds ooo to community integrations (#1623)
* Add cliobot to ollama supported list (#1873)
* Add Dify.AI to community integrations (#1944)
* enh: add ollero.nvim to community applications (#1905)
* Add typechat-cli to Terminal apps (#2428)
* add new Web & Desktop link in readme for alpaca webui (#2881)
* Add LibreChat to Web & Desktop Apps (#2918)
* Add Community Integration: OllamaGUI (#2927)
* Add Community Integration: OpenAOE (#2946)
* Add Saddle (#3178)
* tlm added to README.md terminal section. (#3274)
...
OBS-URL: https://build.opensuse.org/request/show/1168020
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=7
* Fix embeddings load model behavior (#2848)
* Add Community Integration: NextChat (#2780)
* prepend image tags (#2789)
* fix: print usedMemory size right (#2827)
* bump submodule to `87c91c07663b707e831c59ec373b5e665ff9d64a` (#2828)
* Add ollama user to video group
* Add env var so podman will map cuda GPUs
* Omit build date from gzip headers
* Log unexpected server errors checking for update
* Refine container image build script
* Bump llama.cpp to b2276
* Determine max VRAM on macOS using `recommendedMaxWorkingSetSize` (#2354)
* Update types.go (#2744)
* Update langchain python tutorial (#2737)
* no extra disk space for windows installation (#2739)
* clean up go.mod
* remove format/openssh.go
* Add Community Integration: Chatbox
* better directory cleanup in `ollama.iss`
* restore windows build flags and compression
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=6
