Overview

Request 1194354 accepted

- Update to version 0.3.6:
* Fixed issue where /api/embed would return an error instead of
loading the model when the input field was not provided.
* ollama create can now import Phi-3 models from Safetensors
* Added progress information to ollama create when importing GGUF
files
* Ollama will now import GGUF files faster by minimizing file
copies
- Update to version 0.3.6:
* Fixed issue where temporary files would not be cleaned up
* Fix rare error when Ollama would start up due to invalid model
data
- 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
Multi-Granularity.
- BGE-Large: a large embedding model trained in english.
- 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
embedding generation:
* This API endpoint supports new features:
- Batches: generate embeddings for several documents in
one request
- Normalized embeddings: embeddings are now normalized,
improving similarity results
- Truncation: a new truncate parameter that will error if
set to false
- Metrics: responses include load_duration, total_duration and
prompt_eval_count metrics

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Request History
Eyad Issa's avatar

VaiTon created request

- Update to version 0.3.6:
* Fixed issue where /api/embed would return an error instead of
loading the model when the input field was not provided.
* ollama create can now import Phi-3 models from Safetensors
* Added progress information to ollama create when importing GGUF
files
* Ollama will now import GGUF files faster by minimizing file
copies
- Update to version 0.3.6:
* Fixed issue where temporary files would not be cleaned up
* Fix rare error when Ollama would start up due to invalid model
data
- 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
Multi-Granularity.
- BGE-Large: a large embedding model trained in english.
- 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
embedding generation:
* This API endpoint supports new features:
- Batches: generate embeddings for several documents in
one request
- Normalized embeddings: embeddings are now normalized,
improving similarity results
- Truncation: a new truncate parameter that will error if
set to false
- Metrics: responses include load_duration, total_duration and
prompt_eval_count metrics


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factory-auto added opensuse-review-team as a reviewer

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factory-auto accepted review

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Dominique Leuenberger's avatar

dimstar_suse added openSUSE:Factory:Staging:adi:18 as a reviewer

Being evaluated by staging project "openSUSE:Factory:Staging:adi:18"


Dominique Leuenberger's avatar

dimstar_suse accepted review

Picked "openSUSE:Factory:Staging:adi:18"


Saul Goodman's avatar

licensedigger accepted review

The legal review is accepted preliminary. The package may require actions later on.


Dominique Leuenberger's avatar

dimstar accepted review


Dominique Leuenberger's avatar

dimstar_suse accepted review

Staging Project openSUSE:Factory:Staging:adi:18 got accepted.


Dominique Leuenberger's avatar

dimstar_suse approved review

Staging Project openSUSE:Factory:Staging:adi:18 got accepted.


Dominique Leuenberger's avatar

dimstar_suse accepted request

Staging Project openSUSE:Factory:Staging:adi:18 got accepted.

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