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Zephyr 7B Ipo Qlora V0 Merged by DUAL-GPO

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Zephyr 7B Ipo Qlora V0 Merged is an open-source language model by DUAL-GPO. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.2.

  Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DUAL-GPO/zephyr-7b-ipo-qlora-v0-merged 

Zephyr 7B Ipo Qlora V0 Merged Benchmarks

MMLU Pro: 23.67
GPQA: 5.48
MUSR: 10.57
BBH: 22.66
IFEval: 27.56 vs 88 (so35)-68.7%
MATH Lvl 5: 3.02
LLME Score: 0.19892
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Ipo Qlora V0 Merged (DUAL-GPO/zephyr-7b-ipo-qlora-v0-merged)
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Zephyr 7B Ipo Qlora V0 Merged Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
Methodology:
Fine-tuning using IPO
LLM NameZephyr 7B Ipo Qlora V0 Merged
Repository 🤗https://huggingface.co/DUAL-GPO/zephyr-7b-ipo-qlora-v0-merged 
Model Size7b
Required VRAM28.9 GB
Updated2025-09-23
MaintainerDUAL-GPO
Model Typemistral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than DUAL-GPO/zephyr-7b-ipo-qlora-v0-merged.

Rank the Zephyr 7B Ipo Qlora V0 Merged 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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