* 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
134 B
Plaintext
4 lines
134 B
Plaintext
version https://git-lfs.github.com/spec/v1
|
|
oid sha256:26f61d9850e1242dc1d65c4ab881f7a36075066f12f887a6596efceebfda490b
|
|
size 223257614
|