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OpenHermes 2.5 Mistral 7B by teknium

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OpenHermes 2.5 Mistral 7B Benchmarks

LMSys ELO: 1075 vs 1272 (so35)-15.5%
MMLU Pro: 22.83
GPQA: 4.47
MUSR: 12.06
BBH: 27.77
IFEval: 55.71 vs 88 (so35)-36.7%
ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 84.3 vs 95.3 (gpt4)-11.5%
MMLU: 63.82 vs 88.3 (so35)-27.7%
TruthfulQA: 52.31 vs 59 (gpt4)-11.3%
WinoGrande: 77.9 vs 87.5 (gpt4)-11%
GSM8K: 25.47 vs 96.4 (so35)-73.6%
MATH Lvl 5: 4.46
LLME Score: 0.46648
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OpenHermes 2.5 Mistral 7B Parameters and Internals

LLM NameOpenHermes 2.5 Mistral 7B
Repository 🤗https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintainerteknium
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16
OpenHermes 2.5 Mistral 7B (teknium/OpenHermes-2.5-Mistral-7B)

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Rank the OpenHermes 2.5 Mistral 7B Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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