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
Request History
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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dimstar_suse approved review
Staging Project openSUSE:Factory:Staging:adi:18 got accepted.
dimstar_suse accepted request
Staging Project openSUSE:Factory:Staging:adi:18 got accepted.