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OmniBeagleMBX V3 7B by paulml

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  Merged Model   Autotrain compatible Base model:flemmingmiguel/mbx-... Base model:mlabonne/omnibeagle...   Endpoints compatible   Flemmingmiguel/mbx-7b-v3   Mistral   Mlabonne/omnibeagle-7b   Region:us   Safetensors   Sharded   Tensorflow

OmniBeagleMBX V3 7B Benchmarks

ARC: 73.81 vs 96.7 (so35)-23.7%
HellaSwag: 89.07 vs 95.3 (gpt4)-6.5%
MMLU: 64.66 vs 88.3 (so35)-26.8%
TruthfulQA: 73.52 vs 59 (gpt4)24.6%
WinoGrande: 85.4 vs 87.5 (gpt4)-2.4%
GSM8K: 69.29 vs 96.4 (so35)-28.1%
LLME Score: 0.19093
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OmniBeagleMBX V3 7B Parameters and Internals

LLM NameOmniBeagleMBX V3 7B
Repository 🤗https://huggingface.co/paulml/OmniBeagleMBX-v3-7B 
Base Model(s)  OmniBeagle 7B   MBX 7B V3   mlabonne/OmniBeagle-7B   flemmingmiguel/MBX-7B-v3
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintainerpaulml
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 Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
OmniBeagleMBX V3 7B (paulml/OmniBeagleMBX-v3-7B)

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Note: green Score (e.g. "73.2") means that the model is better than paulml/OmniBeagleMBX-v3-7B.

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Release v2024072803
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