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Voldemort 10B DPO by PetroGPT

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Voldemort 10B DPO is an open-source language model by PetroGPT. Features: 10b LLM, VRAM: 21.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 66, HellaSwag: 84.8, MMLU: 62.9, GSM8K: 53.8.

  Arxiv:1910.09700   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%
GSM8K: 53.83 vs 96.4 (so35)-44.2%
LLME Score: 0.1271
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
Updated2026-04-30
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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Sirius 10B32K / 21.5 GB1991
Occiglot10b DPO32K / 19.7 GB31
...penbuddy Mistral 10B V17.1 32K32K / 21.5 GB85
Voldemort 10B8K / 21.5 GB1950
...l 10B V17.1 32K 8.0bpw H8 EXL232K / 10.9 GB31
Note: green Score (e.g. "73.2") means that the model is better than PetroGPT/Voldemort-10B-DPO.

Rank the Voldemort 10B DPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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