ollama/vendor.tar.zstd

version https://git-lfs.github.com/spec/v1
oid sha256:55ce911e80d49668a716385a09682e6a6ad44d711486ee38b32e8269a0a6a3df
size 5354975
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=46 2024-08-15 18:56:53 +00:00			`version https://git-lfs.github.com/spec/v1`
- 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 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=47 2024-08-15 19:06:50 +00:00			`oid sha256:55ce911e80d49668a716385a09682e6a6ad44d711486ee38b32e8269a0a6a3df`
			`size 5354975`