Hermes2 Gutenberg2 Mistral 7B by nbeerbower

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  Autotrain compatible Base model:finetune:nousresear... Base model:nousresearch/hermes...   Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/gutenberg2-...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Hermes2 Gutenberg2 Mistral 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes2 Gutenberg2 Mistral 7B (nbeerbower/Hermes2-Gutenberg2-Mistral-7B)

Hermes2 Gutenberg2 Mistral 7B Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1, nbeerbower/gutenberg2-dpo
Methodology:
ORPO tuned
Hardware Used:
2x RTX 3090
LLM NameHermes2 Gutenberg2 Mistral 7B
Repository ๐Ÿค—https://huggingface.co/nbeerbower/Hermes2-Gutenberg2-Mistral-7B 
Base Model(s)  Hermes 2 Pro Mistral 7B   NousResearch/Hermes-2-Pro-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Hermes2-Gutenberg2-Mistral-7B.

Rank the Hermes2 Gutenberg2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227