Feature Extraction
MLX
sentence-transformers
xlm-roberta
embeddings
multilingual
quantized
int8
q8
revis
text-embeddings-inference
Instructions to use mavis-ai/Multilingual-e5-large-Q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mavis-ai/Multilingual-e5-large-Q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Multilingual-e5-large-Q8 mavis-ai/Multilingual-e5-large-Q8
- sentence-transformers
How to use mavis-ai/Multilingual-e5-large-Q8 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mavis-ai/Multilingual-e5-large-Q8") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| NOTICE | |
| This repository redistributes an 8-bit quantized package derived from: | |
| intfloat/multilingual-e5-large | |
| https://huggingface.co/intfloat/multilingual-e5-large | |
| The original model is released under the MIT License. | |
| Original authors / associated paper: | |
| Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei | |
| Multilingual E5 Text Embeddings: A Technical Report | |
| Base architecture: | |
| XLM-RoBERTa large | |
| Embedding dimension: | |
| 1024 | |
| Modification notice: | |
| This repository contains a R.E.V.I.S. Q8 quantized distribution. | |
| Selected 2D weight tensors were converted to symmetric per-row int8 | |
| representation with per-row scale tensors. | |
| No fine-tuning, additional training, or architecture-level modification | |
| has been applied. | |
| Redistributor: | |
| MAVIS / R.E.V.I.S. | |
| Purpose: | |
| Local semantic embedding, semantic recall, RAG retrieval, and multilingual | |
| semantic search in the R.E.V.I.S. local Cognitive OS ecosystem. | |
| The upstream MIT License text is preserved in LICENSE. | |