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NeuTrixOmniBe DPO by Kukedlc

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  #dpo   #mergeofmerge   Autotrain compatible Base model:cultrix/neuraltrix-... Base model:merge:cultrix/neura... Base model:merge:paulml/omnibe... Base model:paulml/omnibeaglesq...   Endpoints compatible   Maximelabonne   Merge   Mergekit   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

NeuTrixOmniBe DPO Benchmarks

ARC: 72.95-24.2%
HellaSwag: 89.04-6.6%
MMLU: 64.34-25.6%
TruthfulQA: 77.2230.9%
WinoGrande: 84.93-2.9%
GSM8K: 68.31-25.8%
nn.n% — How the model compares to the GPT-4.

NeuTrixOmniBe DPO Parameters and Internals

LLM NameNeuTrixOmniBe DPO
RepositoryOpen on 🤗 
Base Model(s)  NeuralTrix 7B DPO   OmniBeagleSquaredMBX V3 7B V2   CultriX/NeuralTrix-7B-dpo   paulml/OmniBeagleSquaredMBX-v3-7B-v2
Model Size7b
Required VRAM14.4 GB
Updated2024-07-26
MaintainerKukedlc
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
NeuTrixOmniBe DPO (Kukedlc/NeuTrixOmniBe-DPO)

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Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuTrixOmniBe-DPO.

Rank the NeuTrixOmniBe DPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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