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Mistral 7B Instruct SLiC HF by princeton-nlp

 »  All LLMs  »  princeton-nlp  »  Mistral 7B Instruct SLiC HF   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-SLiC-HF 

Mistral 7B Instruct SLiC HF Benchmarks

MMLU Pro: 19.06
GPQA: 3.02
MUSR: 6.71
BBH: 16.65
IFEval: 51.15 vs 88 (so35)-41.9%
MATH Lvl 5: 1.74
LLME Score: 0.20748
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 SLiC HF (princeton-nlp/Mistral-7B-Instruct-SLiC-HF)
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Mistral 7B Instruct SLiC HF Parameters and Internals

LLM NameMistral 7B Instruct SLiC HF
Repository 🤗https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-SLiC-HF 
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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Mistral 7B Instruct V0.232K / 14.4 GB33160952630
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Seed X Instruct 7B32K / 15 GB1510123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Mistral-7B-Instruct-SLiC-HF.

Rank the Mistral 7B Instruct SLiC HF 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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Release v20241124
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