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NeuralOmniBeagle 7B by mlabonne

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  Arxiv:1910.09700   Autotrain compatible Base model:finetune:mlabonne/o... Base model:mlabonne/omnibeagle...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuralOmniBeagle-7B 

NeuralOmniBeagle 7B Benchmarks

LLME Score: 0.17336
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralOmniBeagle 7B (mlabonne/NeuralOmniBeagle-7B)

NeuralOmniBeagle 7B Parameters and Internals

LLM NameNeuralOmniBeagle 7B
Repository 🤗https://huggingface.co/mlabonne/NeuralOmniBeagle-7B 
Base Model(s)  OmniBeagle 7B   mlabonne/OmniBeagle-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
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-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the NeuralOmniBeagle 7B

Model
Likes
Downloads
VRAM
NeuralOmniBeagle 7B GGUF1672 GB

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

Rank the NeuralOmniBeagle 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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Release v20241217
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