EmbeddingGemma is a 300M parameter embedding model from Google.
2.2M Pulls 5 Tags Updated 1 year ago
The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.
372.4K Pulls 6 Tags Updated 1 year ago
Jarvis Voice’s pinned EmbeddingGemma 300M BF16 artifact: 768-dimensional multilingual embeddings using one immutable model across cloud and local Ollama deployments.
60 Pulls 1 Tag Updated 1 month ago
EmbeddingGemma-300M-LawVault is a high-performance embedding model fine-tuned specifically for Chinese Legal RAG (Retrieval-Augmented Generation) scenarios.
206 Pulls 1 Tag Updated 9 months ago
135 Pulls 2 Tags Updated 1 year ago
364 Pulls 1 Tag Updated 10 months ago
218 Pulls 1 Tag Updated 8 months ago
Embedding Model embeddinggemma-300M-NVFP4-Q8-GGUF
7 Pulls 1 Tag Updated 1 week ago
This model is a GGUF version of embedding model which exists in this huggingface repository: https://huggingface.co/heydariAI/persian-embeddings
169 Pulls 1 Tag Updated 1 year ago
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning trained by Alibaba DAMO Academy.
3,221 Pulls 2 Tags Updated 2 years ago
https://huggingface.co/bartowski/granite-embedding-278m-multilingual-GGUF
236 Pulls 1 Tag Updated 1 year ago