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Gte Qwen2 7B Instruct by Alibaba-NLP

 »  All LLMs  »  Alibaba-NLP  »  Gte Qwen2 7B Instruct   URL Share it on

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  Arxiv:2308.03281   Autotrain compatible   Custom code   Endpoints compatible   Instruct   Model-index   Mteb   Qwen2   Region:us   Safetensors   Sentence-similarity   Sentence-transformers   Sharded   Tensorflow   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct 

Gte Qwen2 7B Instruct Benchmarks

MMLU Pro: 25.79
MUSR: 6.32
BBH: 21.93
IFEval: 22.55 vs 88 (so35)-74.4%
ARC: 83.6 vs 96.7 (so35)-13.5%
HellaSwag: 75 vs 95.3 (gpt4)-21.3%
MMLU: 59.7 vs 88.3 (so35)-32.4%
GSM8K: 54.1 vs 96.4 (so35)-43.9%
OpenCompas: 53.1 vs 73.3 (gpt4)-27.6%
Exam: 66 vs 77.2 (gpt4)-14.5%
Language: 41 vs 62 (gpt4)-33.9%
Knowledge: 48.1 vs 73.5 (gpt4)-34.6%
Understand: 64.6 vs 70 (gpt4)-7.7%
Reasoning: 50.3 vs 74.4 (gpt4)-32.4%
MATH Lvl 5: 3.85
LLME Score: 0.37008
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gte Qwen2 7B Instruct (Alibaba-NLP/gte-Qwen2-7B-instruct)

Gte Qwen2 7B Instruct Parameters and Internals

Model Type 
multilingual, text embedding
Additional Notes 
Model trained on the Qwen2 series models released by the Qwen team. Incorporates bidirectional attention mechanisms and instruction tuning applied solely on the query side. Comprehensive training across a vast, multilingual text corpus using both weakly supervised and supervised data.
Supported Languages 
EN (high proficiency), ZH (high proficiency)
LLM NameGte Qwen2 7B Instruct
Repository 🤗https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct 
Model Size7b
Required VRAM30.5 GB
Updated2024-12-22
MaintainerAlibaba-NLP
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Alibaba-NLP/gte-Qwen2-7B-instruct.

Rank the Gte Qwen2 7B Instruct Capabilities

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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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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