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
24 lines
804 B
Plaintext
24 lines
804 B
Plaintext
<services>
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<service name="format_spec_file" mode="manual" />
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<service name="obs_scm" mode="manual">
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<param name="url">https://github.com/ollama/ollama.git</param>
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<param name="scm">git</param>
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<param name="revision">v0.3.4</param>
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<param name="versionformat">@PARENT_TAG@</param>
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<param name="versionrewrite-pattern">v(.*)</param>
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<param name="changesgenerate">enable</param>
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<param name="submodules">enable</param>
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<param name="exclude">macapp</param>
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<param name="package-meta">yes</param>
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</service>
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<service name="go_modules" mode="manual">
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<param name="compression">zstd</param>
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</service>
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<service name="set_version" mode="manual" />
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<service name="tar" mode="buildtime">
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<param name="package-meta">yes</param>
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</service>
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</services>
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