NeuralDaredevil 7B by mlabonne

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NeuralDaredevil 7B Benchmarks

NeuralDaredevil 7B (mlabonne/NeuralDaredevil-7B)

NeuralDaredevil 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Uses same prompt template as mistralai/Mistral-7B-Instruct-v0.2.
Training Details 
Data Sources:
argilla/distilabel-intel-orca-dpo-pairs
Methodology:
DPO fine-tuning
Input Output 
Input Format:
LLM AutoEval on Nous suite
Accepted Modalities:
text
Output Format:
text
LLM NameNeuralDaredevil 7B
Repository ๐Ÿค—https://huggingface.co/mlabonne/NeuralDaredevil-7B 
Base Model(s)  Daredevil 7B   mlabonne/Daredevil-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-01-24
Maintainermlabonne
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralDaredevil-7B.

Rank the NeuralDaredevil 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