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Munin Neuralbeagle 7B by RJuro

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:danish-foundation-m... Base model:mlabonne/neuralbeag...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RJuro/munin-neuralbeagle-7b 

Munin Neuralbeagle 7B Benchmarks

LLME Score: 0.13342
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Munin Neuralbeagle 7B (RJuro/munin-neuralbeagle-7b)
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Munin Neuralbeagle 7B Parameters and Internals

Additional Notes 
The model is a result of merging pre-trained language models using the DARE TIES method with configurations involving density and weight parameters. The merging takes place via mergekit.
LLM NameMunin Neuralbeagle 7B
Repository 🤗https://huggingface.co/RJuro/munin-neuralbeagle-7b 
Base Model(s)  NeuralBeagle14 7B   Munin 7B Alpha   mlabonne/NeuralBeagle14-7B   danish-foundation-models/munin-7b-alpha
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerRJuro
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RJuro/munin-neuralbeagle-7b.

Rank the Munin Neuralbeagle 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 v20241124
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