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OmniBeagle 7B by mlabonne

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  Merged Model   Autotrain compatible Base model:shadowml/beaglesemp... Base model:shadowml/beagsake-7... Base model:shadowml/westbeagle...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

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: 0.19489
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OmniBeagle 7B Parameters and Internals

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
Updated2024-10-18
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
OmniBeagle 7B (mlabonne/OmniBeagle-7B)

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

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Instruction Following and Task Automation  
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Release v2024072803
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