Get up and running with Llama 2, Mistral, Gemma, and other large language models.

Edit Package ollama
https://ollama.com

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

You can find a list of models available for use at https://ollama.com/library.

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Source Files
Filename Size Changed
_service 0000000804 804 Bytes
_servicedata 0000000234 234 Bytes
enable-lto.patch 0000001550 1.51 KB
ollama-0.3.6.obscpio 0184983566 176 MB
ollama-user.conf 0000000090 90 Bytes
ollama.changes 0000027452 26.8 KB
ollama.obsinfo 0000000095 95 Bytes
ollama.service 0000000193 193 Bytes
ollama.spec 0000002983 2.91 KB
vendor.tar.zstd 0005354975 5.11 MB
Revision 18 (latest revision is 25)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 1194354 from Eyad Issa's avatar Eyad Issa (VaiTon) (revision 18)
- Update to version 0.3.6:
  * Fixed issue where /api/embed would return an error instead of
    loading the model when the input field was not provided.
  * ollama create can now import Phi-3 models from Safetensors
  * Added progress information to ollama create when importing GGUF
    files
  * Ollama will now import GGUF files faster by minimizing file
    copies
- Update to version 0.3.6:
  * Fixed issue where temporary files would not be cleaned up
  * Fix rare error when Ollama would start up due to invalid model
    data
- Update to version 0.3.4:
 * 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
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