Eyad Issa
aa82c484e7
* 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
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=46
4 lines
234 B
Plaintext
4 lines
234 B
Plaintext
<servicedata>
|
|
<service name="tar_scm">
|
|
<param name="url">https://github.com/ollama/ollama.git</param>
|
|
<param name="changesrevision">ce1fb4447efc9958dcf279f7eb2ae6941bec1220</param></service></servicedata> |