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
14 lines
193 B
Desktop File
14 lines
193 B
Desktop File
[Unit]
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Description=Ollama Service
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After=network-online.target
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[Service]
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ExecStart=/usr/bin/ollama serve
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User=ollama
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Group=ollama
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Restart=always
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RestartSec=3
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[Install]
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WantedBy=default.target
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