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OpenHermes 2.5 Mistral 7B by teknium

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B 

OpenHermes 2.5 Mistral 7B Benchmarks

LMSys ELO: 1089 vs 1272 (so35)-14.4%
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: 5.06
LLME Score: 0.38582
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 (teknium/OpenHermes-2.5-Mistral-7B)
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OpenHermes 2.5 Mistral 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
chat systems, programming support, general AI applications
Primary Use Cases:
general conversation, programming assistance, interactive storytelling
Limitations:
reduced performance on BigBench benchmark
Considerations:
Be cautious of AI bias and ensure safety measures.
Additional Notes 
New system prompts engage assistants in multi-turn dialogues with ChatML format.
Supported Languages 
en (English)
Training Details 
Data Sources:
GPT-4 generated data, teknium/OpenHermes-2.5
Data Volume:
1,000,000 entries
Methodology:
Extensive filtering and conversion to ShareGPT, transformed by axolotl to use ChatML.
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the ChatML prompt format for better multi-turn chat engagement.
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
Updated2025-08-17
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

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Rank the OpenHermes 2.5 Mistral 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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