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Hermes 2 Pro Mistral 7B by NousResearch

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Function calling   Gpt4   Instruct   Json mode   Mistral   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B 

Hermes 2 Pro Mistral 7B Benchmarks

MMLU Pro: 21.63
GPQA: 3.13
MUSR: 14.13
BBH: 29.43
IFEval: 56.68 vs 88 (so35)-35.6%
ARC: 64.16 vs 96.7 (so35)-33.7%
HellaSwag: 82.73 vs 95.3 (gpt4)-13.2%
MMLU: 62.21 vs 88.3 (so35)-29.5%
TruthfulQA: 58.99 vs 59 (gpt4)-0%
WinoGrande: 75.61 vs 87.5 (gpt4)-13.6%
GSM8K: 60.42 vs 96.4 (so35)-37.3%
MATH Lvl 5: 6.04
LLME Score: 0.28497
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes 2 Pro Mistral 7B (NousResearch/Hermes-2-Pro-Mistral-7B)
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Hermes 2 Pro Mistral 7B Parameters and Internals

Model Type 
text generation, function calling, structured outputs
Use Cases 
Areas:
general task, conversation, function calling
Additional Notes 
Developed in collaboration with Fireworks.AI and @interstellarninja.
Training Details 
Data Sources:
OpenHermes 2.5 Dataset, Function Calling and JSON Mode dataset developed in-house
Methodology:
Special system prompt and multi-turn function calling structure with ChatML.
Input Output 
Input Format:
ChatML - special tokens for beginning and end of turns, roles.
Accepted Modalities:
text
Output Format:
text, JSON structured outputs.
Performance Tips:
Set 'add_generation_prompt=True' when tokenizing messages for generation using 'apply_chat_template()'.
Release Notes 
Version:
Hermes-2-Pro-Mistral-7B
Notes:
Enhanced with function calling capabilities and JSON mode responses.
LLM NameHermes 2 Pro Mistral 7B
Repository 🤗https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
MaintainerNousResearch
Model Typemistral
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   2.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

Quantized Models of the Hermes 2 Pro Mistral 7B

Model
Likes
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VRAM
...Mistral 7B Metropole 4bit Gguf0214 GB
Hermes 2 Pro Mistral 7B AWQ264 GB

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Rank the Hermes 2 Pro Mistral 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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