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OmniBeagle 7B by mlabonne

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OmniBeagle 7B is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Merged, HF Score: 75.7, LLM Explorer Score: 0.12, Arc: 72.6, HellaSwag: 88.9, MMLU: 64.8, TruthfulQA: 74.5, WinoGrande: 83.1, GSM8K: 70.1.

  Merged Model Base model:shadowml/beaglesemp... Base model:shadowml/beagsake-7... Base model:shadowml/westbeagle...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/OmniBeagle-7B 

OmniBeagle 7B Benchmarks

ARC: 72.61 vs 96.7 (so35)-24.9%
HellaSwag: 88.93 vs 95.3 (gpt4)-6.7%
MMLU: 64.8 vs 88.3 (so35)-26.6%
TruthfulQA: 74.45 vs 59 (gpt4)26.2%
WinoGrande: 83.11 vs 87.5 (gpt4)-5%
GSM8K: 70.05 vs 96.4 (so35)-27.3%
LLME Score: 0.12353
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OmniBeagle 7B (mlabonne/OmniBeagle-7B)
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OmniBeagle 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Merged using LazyMergekit with models including shadowml/BeagleSempra-7B.
LLM NameOmniBeagle 7B
Repository 🤗https://huggingface.co/mlabonne/OmniBeagle-7B 
Base Model(s)  BeagleSempra 7B   BeagSake 7B   WestBeagle 7B   shadowml/BeagleSempra-7B   shadowml/BeagSake-7B   shadowml/WestBeagle-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintainermlabonne
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 Version4.35.2
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/OmniBeagle-7B.

Rank the OmniBeagle 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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