LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

All MiniLM L12 V2 by Xenova

 »  All LLMs  »  Xenova  »  All MiniLM L12 V2   URL Share it on

  1382   

All MiniLM L12 V2 is an open-source language model by Xenova. Features: LLM, Context: 0.5K, LLM Explorer Score: 0.08.

Base model:quantized:sentence-... Base model:sentence-transforme...   Bert   Feature-extraction   Onnx   Region:us   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/all-MiniLM-L12-v2 

All MiniLM L12 V2 Benchmarks

LLME Score: 0.08255
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
All MiniLM L12 V2 (Xenova/all-MiniLM-L12-v2)
🌟 Advertise your project 🚀

All MiniLM L12 V2 Parameters and Internals

Model Type 
feature-extraction
Additional Notes 
The model is adapted to use ONNX weights compatible with Transformers.js for web applications. For web readiness, conversion to ONNX using Hugging Face Optimum is recommended, and maintaining weights in a subfolder named 'onnx'.
LLM NameAll MiniLM L12 V2
Repository 🤗https://huggingface.co/Xenova/all-MiniLM-L12-v2 
Base Model(s)  sentence-transformers/all-MiniLM-L12-v2   sentence-transformers/all-MiniLM-L12-v2
Updated2026-06-13
MaintainerXenova
Model Typebert
Model ArchitectureAutoModel
Context Length512
Model Max Length512
Transformers Version4.29.2
Tokenizer ClassBertTokenizer
Padding Token[PAD]
Vocabulary Size30522

Best Alternatives to All MiniLM L12 V2

Best Alternatives
Context / RAM
Downloads
Likes
Distil Longformer Base 40964K / 0.4 GB60
Daedalus 11K /  GB11
Tiny Random Detr1K / 0.2 GB150
Opengpt2 Pytorch Backward1K / 6 GB871
Opengpt2 Pytorch Forward1K / 6 GB111
Finsent Transformer0.5K / 0.4 GB21
Bert Chinese L 12 H 768 A 120.5K / 0.4 GB91
Simbert Chinese Tiny0.5K / 0 GB90
Simbert Chinese Base0.5K / 0.4 GB90
Bert Tiny0.5K / 0 GB2473938145
Note: green Score (e.g. "73.2") means that the model is better than Xenova/all-MiniLM-L12-v2.

Rank the All MiniLM L12 V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 54931 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer