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Nous Hermes Llama 2 7B by NousResearch

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  Autotrain compatible   Distillation   En   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Safetensors   Self-instruct   Synthetic instruction

Nous Hermes Llama 2 7B Benchmarks

MMLU Pro: 10.44
GPQA: 1.79
MUSR: 11.68
BBH: 13.79
IFEval: 17.29 vs 88 (so35)-80.4%
ARC: 55.12 vs 96.7 (so35)-43%
HellaSwag: 78.94 vs 95.3 (gpt4)-17.2%
MMLU: 48.34 vs 88.3 (so35)-45.3%
TruthfulQA: 49.01 vs 59 (gpt4)-16.9%
WinoGrande: 74.03 vs 87.5 (gpt4)-15.4%
GSM8K: 5.76 vs 96.4 (so35)-94%
MATH Lvl 5: 0.68
LLME Score: 0.23392
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nous Hermes Llama 2 7B Parameters and Internals

LLM NameNous Hermes Llama 2 7B
Repository 🤗https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-10-11
MaintainerNousResearch
Model Typellama
Model Files  13.5 GB   13.5 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Nous Hermes Llama 2 7B (NousResearch/Nous-Hermes-llama-2-7b)

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Nous Hermes Llama 2 7B GGUF610082 GB
Nous Hermes Llama 2 7B AWQ223 GB
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Nous Hermes Llama 2 7B GPTQ9183 GB

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Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Hermes-llama-2-7b.

Rank the Nous Hermes Llama 2 7B 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 v2024072803
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