multilingual-e5-large-mlx
This model was converted to MLX format from intfloat/multilingual-e5-large.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/multilingual-e5-large-mlx --prompt "My name is"
- Downloads last month
- 337
Hardware compatibility
Log In to add your hardware
Quantized
Spaces using mlx-community/multilingual-e5-large-mlx 11
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported79.060
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported43.487
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported73.327
- accuracy on MTEB AmazonCounterfactualClassification (de)test set self-reported71.221
- ap on MTEB AmazonCounterfactualClassification (de)test set self-reported81.558
- f1 on MTEB AmazonCounterfactualClassification (de)test set self-reported69.283
- accuracy on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported80.420
- ap on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported29.349
- f1 on MTEB AmazonCounterfactualClassification (en-ext)test set self-reported67.625
- accuracy on MTEB AmazonCounterfactualClassification (ja)test set self-reported77.837
- ap on MTEB AmazonCounterfactualClassification (ja)test set self-reported26.558
- f1 on MTEB AmazonCounterfactualClassification (ja)test set self-reported64.966
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported93.490
- ap on MTEB AmazonPolarityClassificationtest set self-reported90.988
- f1 on MTEB AmazonPolarityClassificationtest set self-reported93.486
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported47.564
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir multilingual-e5-large-mlx mlx-community/multilingual-e5-large-mlx