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Mistral 7B Open Hermes NSFWV1 by Lexic0n

 »  All LLMs  »  Lexic0n  »  Mistral 7B Open Hermes NSFWV1   URL Share it on

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  Autotrain compatible   Conversational   Doi:10.57967/hf/2024   En   Endpoints compatible   Mistral   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Lexic0n/Mistral_7B-Open_Hermes-NSFWV1 

Mistral 7B Open Hermes NSFWV1 Benchmarks

ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 85.23 vs 95.3 (gpt4)-10.6%
MMLU: 62.69 vs 88.3 (so35)-29%
TruthfulQA: 44.14 vs 59 (gpt4)-25.2%
WinoGrande: 77.9 vs 87.5 (gpt4)-11%
GSM8K: 54.89 vs 96.4 (so35)-43.1%
LLME Score: 0.16472
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Open Hermes NSFWV1 (Lexic0n/Mistral_7B-Open_Hermes-NSFWV1)
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Mistral 7B Open Hermes NSFWV1 Parameters and Internals

LLM NameMistral 7B Open Hermes NSFWV1
Repository 🤗https://huggingface.co/Lexic0n/Mistral_7B-Open_Hermes-NSFWV1 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-08
MaintainerLexic0n
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Lexic0n/Mistral_7B-Open_Hermes-NSFWV1.

Rank the Mistral 7B Open Hermes NSFWV1 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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