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Zenith 7B DPO V1 by Xenon1

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Zenith 7B DPO V1 is an open-source language model by Xenon1. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 59.8, LLM Explorer Score: 0.14, Arc: 60.5, HellaSwag: 83, MMLU: 60.4, TruthfulQA: 60.6, WinoGrande: 77.3, GSM8K: 17.

  Arxiv:2401.10020   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Zenith-7b-dpo-v1
Model Card on HF 🤗: https://huggingface.co/Xenon1/Zenith-7B-dpo-v1 

Zenith 7B DPO V1 Benchmarks

ARC: 60.49 vs 96.7 (so35)-37.4%
HellaSwag: 82.95 vs 95.3 (gpt4)-13%
MMLU: 60.39 vs 88.3 (so35)-31.6%
TruthfulQA: 60.6 vs 59 (gpt4)2.7%
WinoGrande: 77.27 vs 87.5 (gpt4)-11.7%
GSM8K: 16.98 vs 96.4 (so35)-82.4%
LLME Score: 0.14087
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zenith 7B DPO V1 (Xenon1/Zenith-7B-dpo-v1)
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Zenith 7B DPO V1 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
Ultrafeedback dataset
Methodology:
fine-tuning
Model Architecture:
transformer
Input Output 
Input Format:
Prompt surrounded by [INST] and [/INST] tokens
Accepted Modalities:
text
LLM NameZenith 7B DPO V1
Repository 🤗https://huggingface.co/Xenon1/Zenith-7B-dpo-v1 
Model Size7b
Required VRAM14.4 GB
Updated2025-12-18
MaintainerXenon1
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
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 Xenon1/Zenith-7B-dpo-v1.

Rank the Zenith 7B DPO V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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