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NeuralBeagle 11B by vicgalle

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  11b   Autotrain compatible Base model:finetune:vicgalle/f... Base model:vicgalle/franken-be...   Conversational Dataset:argilla/distilabel-int...   Dpo   Endpoints compatible   Merge   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

NeuralBeagle 11B Benchmarks

ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 87.61 vs 95.3 (gpt4)-8.1%
MMLU: 63.8 vs 88.3 (so35)-27.7%
TruthfulQA: 71.36 vs 59 (gpt4)20.9%
WinoGrande: 82.64 vs 87.5 (gpt4)-5.6%
GSM8K: 58.98 vs 96.4 (so35)-38.8%
LLME Score: 0.19082
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralBeagle 11B Parameters and Internals

LLM NameNeuralBeagle 11B
Repository 🤗https://huggingface.co/vicgalle/NeuralBeagle-11B 
Base Model(s)  Franken Beagle 11B   vicgalle/franken-Beagle-11B
Model Size11b
Required VRAM21.4 GB
Updated2024-10-18
Maintainervicgalle
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
NeuralBeagle 11B (vicgalle/NeuralBeagle-11B)

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/NeuralBeagle-11B.

Rank the NeuralBeagle 11B 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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Release v2024072803
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