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

Stella En 1.5B V5 by dunzhang

 »  All LLMs  »  dunzhang  »  Stella En 1.5B V5   URL Share it on

  581890   

Stella En 1.5B V5 is an open-source language model by dunzhang. Features: 1.5b LLM, VRAM: 6.2GB, Context: 128K, License: mit, LLM Explorer Score: 0.28.

  Arxiv:2205.13147   Autotrain compatible   Custom code   Endpoints compatible   Model-index   Mteb   Pytorch   Qwen2   Region:us   Safetensors   Sentence-similarity   Sentence-transformers   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/dunzhang/stella_en_1.5B_v5 

Stella En 1.5B V5 Benchmarks

LLME Score: 0.27972
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stella En 1.5B V5 (dunzhang/stella_en_1.5B_v5)
🌟 Advertise your project 🚀

Stella En 1.5B V5 Parameters and Internals

Model Type 
SentenceTransformer, Retrieval, Classification, STS, PairClassification, Clustering, Summarization
Additional Notes 
The model comes with a series of `2_Dense_{dims}` folders for versatile output dimensions with minor performance differences across them. It requires a prompt for the best results in specific tasks.
Training Details 
Methodology:
The models are trained based on `Alibaba-NLP/gte-large-en-v1.5` and `Alibaba-NLP/gte-Qwen2-1.5B-instruct` and use [MRL](https://arxiv.org/abs/2205.13147) methodology.
Context Length:
512
Input Output 
Input Format:
Given a web search query, retrieve relevant passages that answer the query: {query}
Output Format:
Vectors with specified dimension, capable of complex similarity and retrieval tasks.
Performance Tips:
Use 1024 dimensions for a balance between performance and computational cost.
LLM NameStella En 1.5B V5
Repository 🤗https://huggingface.co/dunzhang/stella_en_1.5B_v5 
Model Size1.5b
Required VRAM6.2 GB
Updated2025-01-23
Maintainerdunzhang
Model Typeqwen2
Model Files  6.2 GB   6.2 GB
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Stella En 1.5B V5

Best Alternatives
Context / RAM
Downloads
Likes
ReaderLM V2500K / 3.1 GB2591766
Reader Lm 1.5B250K / 3.1 GB1411607
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB12145231427
Qwen2.5 1.5B128K / 3.1 GB888741150
AceInstruct 1.5B128K / 3.5 GB7688020
DeepScaleR 1.5B Preview128K / 7.1 GB11774573
...n Research Reasoning Qwen 1.5B128K / 7.1 GB5716221
Qwen2 1.5B128K / 3.1 GB8373497
OpenReasoning Nemotron 1.5B128K / 3.1 GB518847
...1 Distill Qwen 1.5B GSPO Basic128K / 3.5 GB18060
Note: green Score (e.g. "73.2") means that the model is better than dunzhang/stella_en_1.5B_v5.

Rank the Stella En 1.5B V5 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? 51643 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 v20241124
  Support LLM Explorer