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Mistral 7B Instruct RRHF by princeton-nlp

 »  All LLMs  »  princeton-nlp  »  Mistral 7B Instruct RRHF   URL Share it on

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  Arxiv:2405.14734   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-RRHF 

Mistral 7B Instruct RRHF Benchmarks

MMLU Pro: 18.35
GPQA: 3.47
MUSR: 7.93
BBH: 19.21
IFEval: 49.6 vs 88 (so35)-43.6%
MATH Lvl 5: 2.79
LLME Score: 0.21164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct RRHF (princeton-nlp/Mistral-7B-Instruct-RRHF)
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Mistral 7B Instruct RRHF Parameters and Internals

LLM NameMistral 7B Instruct RRHF
Repository 🤗https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-RRHF 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerprinceton-nlp
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Mistral-7B-Instruct-RRHF.

Rank the Mistral 7B Instruct RRHF 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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