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OmniBeagleSquaredMBX V3 7B by paulml

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  Merged Model   Autotrain compatible Base model:flemmingmiguel/mbx-... Base model:paulml/omnibeaglemb...   Endpoints compatible   Flemmingmiguel/mbx-7b-v3   Mistral   Paulml/omnibeaglembx-v3-7b   Region:us   Safetensors   Sharded   Tensorflow

OmniBeagleSquaredMBX V3 7B Benchmarks

ARC: 74.4 vs 96.7 (so35)-23.1%
HellaSwag: 88.82 vs 95.3 (gpt4)-6.8%
MMLU: 65.09 vs 88.3 (so35)-26.3%
TruthfulQA: 72.7 vs 59 (gpt4)23.2%
WinoGrande: 85.24 vs 87.5 (gpt4)-2.6%
GSM8K: 69.22 vs 96.4 (so35)-28.2%
LLME Score: 0.20176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OmniBeagleSquaredMBX V3 7B Parameters and Internals

LLM NameOmniBeagleSquaredMBX V3 7B
Repository 🤗https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B 
Base Model(s)  OmniBeagleMBX V3 7B   MBX 7B V3   paulml/OmniBeagleMBX-v3-7B   flemmingmiguel/MBX-7B-v3
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainerpaulml
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.8 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
OmniBeagleSquaredMBX V3 7B (paulml/OmniBeagleSquaredMBX-v3-7B)

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

Rank the OmniBeagleSquaredMBX V3 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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