Aquesta és una versió anterior. La versió actual és la 0.40.13. Ollama 0.40.13 · Data de publicació:
Fitxers d’instal·lació 0.3.4
| Arquitectura | Tipus | Àmbit | Mida del fitxer | Baixa | SHA256 |
|---|---|---|---|---|---|
| 64 bits | EXE (Inno Setup) | Usuari actual | — | github.com | VirusTotal |
L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.
Notes de la versió
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 endpoint with batch support
Ollama now supports a new API endpoint /api/embed for embedding generation:
curl http://localhost:11434/api/embed -d '{
"model": "all-minilm",
"input": ["Why is the sky blue?", "Why is the grass green?"]
}'
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
See the API documentation for more details and examples.
What's Changed
- Fixed initial slow download speeds on Windows
- NUMA support will now be autodetected by Ollama to improve performance
- Fixed issue where the /api/embed would sometimes return embedding results out of order
New Contributors
- @av made their first contribution in https://github.com/ollama/ollama/pull/6147
- @sryu1 made their first contribution in https://github.com/ollama/ollama/pull/6151
- @rick-github made their first contribution in https://github.com/ollama/ollama/pull/6154
Full Changelog: https://github.com/ollama/ollama/compare/v0.3.3...v0.3.4
