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NeuralBeagle14 7B by mlabonne

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  Autotrain compatible Base model:finetune:mlabonne/b... Base model:mlabonne/beagle14-7...   Conversational   Dpo   Endpoints compatible   Lazymergekit   Merge   Mergekit   Mistral   Model-index   Region:us   Rlhf   Safetensors   Sharded   Tensorflow

NeuralBeagle14 7B Benchmarks

MMLU Pro: 17.79
GPQA: 4.25
MUSR: 12.89
BBH: 23.96
IFEval: 49.35 vs 88 (so35)-43.9%
ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 88.34 vs 95.3 (gpt4)-7.3%
MMLU: 64.55 vs 88.3 (so35)-26.9%
TruthfulQA: 69.93 vs 59 (gpt4)18.5%
WinoGrande: 82.4 vs 87.5 (gpt4)-5.8%
GSM8K: 70.28 vs 96.4 (so35)-27.1%
MATH Lvl 5: 4.76
LLME Score: 0.27126
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralBeagle14 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Instruction following, Reasoning tasks, Roleplay (RP), Storytelling
Additional Notes 
NeuralBeagle14-7B is considered one of the best models in its parameter size category due to its strong performance in benchmarks.
Training Details 
Data Sources:
argilla/distilabel-intel-orca-dpo-pairs
Methodology:
Direct Preference Optimization (DPO) fine-tuning
Context Length:
8000
LLM NameNeuralBeagle14 7B
Repository 🤗https://huggingface.co/mlabonne/NeuralBeagle14-7B 
Base Model(s)  Beagle14 7B   mlabonne/Beagle14-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
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
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
NeuralBeagle14 7B (mlabonne/NeuralBeagle14-7B)

Quantized Models of the NeuralBeagle14 7B

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VRAM
NeuralBeagle14 7B GGUF237392 GB
NeuralBeagle14 7B AWQ38904 GB
NeuralBeagle14 7B GGUF11162 GB
NeuralBeagle14 7B GGUF01522 GB
NeuralBeagle14 7B GPTQ51164 GB

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralBeagle14-7B.

Rank the NeuralBeagle14 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 v20241110
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