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E5 Mistral 7B Instruct by intfloat

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E5 Mistral 7B Instruct is an open-source language model by intfloat. Features: 7b LLM, VRAM: 14.2GB, Context: 32K, License: mit, Instruction-Based, HF Score: 29.9, LLM Explorer Score: 0.27, Arc: 29.6, HellaSwag: 27.1, MMLU: 23.1, TruthfulQA: 47.5, WinoGrande: 51.9.

  Arxiv:2104.08663   Arxiv:2210.07316   Arxiv:2212.03533   Arxiv:2401.00368   Deploy:azure   En   Endpoints compatible   Eval-results   Feature-extraction   Instruct   Mistral   Model-index   Mteb   Pytorch   Region:us   Safetensors   Sentence-transformers   Sharded   Tensorflow   Text-embeddings-inference
Model Card on HF 🤗: https://huggingface.co/intfloat/e5-mistral-7b-instruct 

E5 Mistral 7B Instruct Benchmarks

ARC: 29.61 vs 96.7 (so35)-69.4%
HellaSwag: 27.05 vs 95.3 (gpt4)-71.6%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 47.53 vs 59 (gpt4)-19.4%
WinoGrande: 51.93 vs 87.5 (gpt4)-40.7%
LLME Score: 0.27458
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
E5 Mistral 7B Instruct (intfloat/e5-mistral-7b-instruct)
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E5 Mistral 7B Instruct Parameters and Internals

Model Type 
Multilingual
Additional Notes 
Fine-tuned on multilingual datasets.
Supported Languages 
primary (English), notes (Some multilingual capability.)
Input Output 
Input Format:
Queries with instructions
Output Format:
Embeddings
Performance Tips:
Use instructions to avoid performance degradation.
LLM NameE5 Mistral 7B Instruct
Repository 🤗https://huggingface.co/intfloat/e5-mistral-7b-instruct 
Model Size7b
Required VRAM14.2 GB
Updated2026-04-13
Maintainerintfloat
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.3 GB: 2-of-2   9.9 GB: 1-of-2   4.3 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralModel
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Rank the E5 Mistral 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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