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Voldemort 10B DPO by PetroGPT

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  917   
  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PetroGPT/Voldemort-10B-DPO 

Voldemort 10B DPO Benchmarks

ARC: 66.04 vs 96.7 (so35)-31.7%
HellaSwag: 84.84 vs 95.3 (gpt4)-11%
MMLU: 62.88 vs 88.3 (so35)-28.8%
TruthfulQA: 61.44 vs 59 (gpt4)4.1%
WinoGrande: 77.03 vs 87.5 (gpt4)-12%
GSM8K: 53.83 vs 96.4 (so35)-44.2%
LLME Score: 0.16477
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Voldemort 10B DPO (PetroGPT/Voldemort-10B-DPO)
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Voldemort 10B DPO Parameters and Internals

LLM NameVoldemort 10B DPO
Repository 🤗https://huggingface.co/PetroGPT/Voldemort-10B-DPO 
Model Size10b
Required VRAM21.4 GB
Updated2025-07-31
MaintainerPetroGPT
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Voldemort 10B DPO Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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