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Zephyr 7B Ipo Qlora V0 Merged by DUAL-GPO

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  Mistral   Region:us   Safetensors   Sharded   Tensorflow

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: 2.57
LLME Score: 0.29757
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 Parameters and Internals

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
Updated2024-10-11
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
Zephyr 7B Ipo Qlora V0 Merged (DUAL-GPO/zephyr-7b-ipo-qlora-v0-merged)

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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

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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