Releases: magda-io/embedding_models
gte-base-en-v1.5
gte-base-en-v1.5
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Alibaba-NLP/gte-base-en-v1.5 ONNX format model
- Language: english
- Model Size: 137M parameters
- Max Seq. Length: 8192
- Dimension: 768
- MTEB-en: 64.11
- LoCo: 87.44
-
Opensearch Model Config
- model_type (architectures):
BertModel
- Original value:
NewModel
- Original value:
- framework_type:
sentence_transformers
- embedding_dimension: 768
- all_config: can get from config.json
- model_type (architectures):
Download Url: https://github.com/magda-io/embedding_models/releases/download/gte-base-en-v1.5/model.zip
File SHA-256 hash: 55dfd0ae0b9140cf091a3ee26fe0542e00807c3827687ac2e66da27c12f01084
Size: 356121727 bytes
License: apache-2.0
gte-large-en-v1.5
gte-large-en-v1.5
This model currently doesn't work on OpenSearch v2.15.0 with the deploy error: "input mismatch, looking for: [input_ids, attention_mask, token_type_ids]".
-
Alibaba-NLP/gte-large-en-v1.5 ONNX format model
- Language: english
- Model Size: 434M parameters
- Max Seq. Length: 8192
- Dimension: 1024
- MTEB-en: 65.39
- LoCo: 86.71
-
Opensearch Model Config
- model_type (architectures):
BertModel
- Original value:
NewModel
- Original value:
- framework_type:
sentence_transformers
- embedding_dimension: 1024
- all_config: can get from config.json
- model_type (architectures):
Download Url: https://github.com/magda-io/embedding_models/releases/download/gte-large-en-v1.5/model.zip
File SHA-256 hash: 72e4037cd3e2a2499a3c92759159982982871a40715ca7c38f583934aa17306b
Size: 1271086226 bytes
License: apache-2.0