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NeuralDaredevil 7B by mlabonne

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NeuralDaredevil 7B is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, HF Score: 74.1, LLM Explorer Score: 0.12, Arc: 69.9, HellaSwag: 87.6, MMLU: 65.1, TruthfulQA: 66.9, WinoGrande: 82.1, GSM8K: 73.2.

Base model:finetune:mlabonne/d... Base model:mlabonne/daredevil-...   Conversational   Dpo   Endpoints compatible   Lazymergekit   Merge   Mergekit   Mistral   Mlabonne/example   Model-index   Region:us   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuralDaredevil-7B 

NeuralDaredevil 7B Benchmarks

ARC: 69.88 vs 96.7 (so35)-27.7%
HellaSwag: 87.62 vs 95.3 (gpt4)-8.1%
MMLU: 65.12 vs 88.3 (so35)-26.3%
TruthfulQA: 66.85 vs 59 (gpt4)13.3%
WinoGrande: 82.08 vs 87.5 (gpt4)-6.2%
GSM8K: 73.16 vs 96.4 (so35)-24.1%
LLME Score: 0.12219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralDaredevil 7B (mlabonne/NeuralDaredevil-7B)
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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 🤗https://huggingface.co/mlabonne/NeuralDaredevil-7B 
Base Model(s)  Daredevil 7B   mlabonne/Daredevil-7B
Model Size7b
Required VRAM14.4 GB
Updated2026-04-21
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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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralDaredevil-7B.

Rank the NeuralDaredevil 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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