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OGNO 7B DPO Truthful by eren23

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OGNO 7B DPO Truthful is an open-source language model by eren23. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 76.1, LLM Explorer Score: 0.13, Arc: 73, HellaSwag: 89, MMLU: 64.6, TruthfulQA: 76.6, WinoGrande: 84.7, GSM8K: 69.

Dataset:jondurbin/truthy-dpo-v...   Dpo   En   Endpoints compatible   Merge   Mistral   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/eren23/OGNO-7b-dpo-truthful 

OGNO 7B DPO Truthful Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.02 vs 95.3 (gpt4)-6.6%
MMLU: 64.61 vs 88.3 (so35)-26.8%
TruthfulQA: 76.61 vs 59 (gpt4)29.8%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 68.99 vs 96.4 (so35)-28.4%
LLME Score: 0.13345
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OGNO 7B DPO Truthful (eren23/OGNO-7b-dpo-truthful)
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OGNO 7B DPO Truthful Parameters and Internals

Model Type 
text generation
Additional Notes 
This repo is an experimental repo, and might not be usable in production.
Training Details 
Data Sources:
jondurbin/truthy-dpo-v0.1
Methodology:
DPO Finetuned
LLM NameOGNO 7B DPO Truthful
Repository 🤗https://huggingface.co/eren23/OGNO-7b-dpo-truthful 
Model Size7b
Required VRAM14.4 GB
Updated2026-01-15
Maintainereren23
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than eren23/OGNO-7b-dpo-truthful.

Rank the OGNO 7B DPO Truthful 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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