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OpenHermes 7B by teknium

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OpenHermes 7B is an open-source language model by teknium. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: mit, HF Score: 51.3, LLM Explorer Score: 0.15, Arc: 56.1, HellaSwag: 78.3, MMLU: 48.6, TruthfulQA: 45, WinoGrande: 74.5, GSM8K: 5.

  Alpaca Base model:finetune:nousresear... Base model:nousresearch/llama-...   Dataset:teknium/openhermes   Distillation   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Llama   Llama2   Pytorch   Region:us   Sharded   Synthetic data
Model Card on HF 🤗: https://huggingface.co/teknium/OpenHermes-7B 

OpenHermes 7B Benchmarks

MMLU Pro: 10.37
GPQA: 2.57
MUSR: 12.68
BBH: 12.08
IFEval: 18.13 vs 88 (so35)-79.4%
ARC: 56.14 vs 96.7 (so35)-41.9%
HellaSwag: 78.32 vs 95.3 (gpt4)-17.8%
MMLU: 48.62 vs 88.3 (so35)-44.9%
TruthfulQA: 45 vs 59 (gpt4)-23.7%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 5 vs 96.4 (so35)-94.8%
MATH Lvl 5: 1.59
LLME Score: 0.14898
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenHermes 7B (teknium/OpenHermes-7B)
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OpenHermes 7B Parameters and Internals

Model Type 
fine-tune
Additional Notes 
OpenHermes 7B is the first fine tune of the Hermes dataset that has a fully open source dataset. Uniquely uses sample packing for efficient training.
Supported Languages 
en (full)
Training Details 
Data Sources:
GPTeacher - General Instruct, Roleplay v1, Roleplay v2, and Code Instruct Datasets by Teknium, WizardLM (v1, evol_instruct 70k) by WizardLM Team/nlpxucan, Airoboros GPT-4 (v1.0) by JonDurbin, Camel-AI's domain expert datasets by the Camel-AI Team, CodeAlpaca by Sahil2801, GPT4-LLM and Unnatural Instructions by Microsoft
Data Volume:
242,000 entries
Methodology:
Sample packing, filtering of OpenAI refusals, disclaimers, and "As an AI" type examples
Hardware Used:
Compute access by main_horse, a16z sponsorship
LLM NameOpenHermes 7B
Repository 🤗https://huggingface.co/teknium/OpenHermes-7B 
Base Model(s)  Llama 2 7B Hf   NousResearch/Llama-2-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2026-03-29
Maintainerteknium
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than teknium/OpenHermes-7B.

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Instruction Following and Task Automation  
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