MiniLM-v2
Lightweight sentence embedding model for semantic similarity and search.
All‑MiniLM‑L6‑v2 maps sentences to a 384‑dimensional dense vector space. Trained on 1B+ sentence pairs, it excels at semantic search, clustering, and sentence similarity tasks while being small enough to run on mobile devices.
Not supported
This model is currently not supported on any Automotive chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:sentence-transformers/all-MiniLM-L6-v2
Input resolution:128 tokens
Number of parameters:22.7M
Model size (float):86.7 MB
Embedding dimension:384
Applicable Scenarios
- Semantic Search
- Text Classification
- Clustering
License
Model:APACHE-2.0
Tags
- foundation
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P
- Qualcomm® SA8295P
- Qualcomm® SA8650P
- Qualcomm® SA8775P
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers