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OpenOrca Zephyr 7B by Weyaxi

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/OpenOrca-Zephyr-7B 

OpenOrca Zephyr 7B Benchmarks

ARC: 64.08 vs 96.7 (so35)-33.7%
HellaSwag: 83.82 vs 95.3 (gpt4)-12%
MMLU: 62.46 vs 88.3 (so35)-29.3%
TruthfulQA: 54.31 vs 59 (gpt4)-7.9%
WinoGrande: 78.93 vs 87.5 (gpt4)-9.8%
GSM8K: 46.25 vs 96.4 (so35)-52%
LLME Score: 0.13897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenOrca Zephyr 7B (Weyaxi/OpenOrca-Zephyr-7B)
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OpenOrca Zephyr 7B Parameters and Internals

Additional Notes 
This model is a weighted merge and density merge of two models with ties merge.
Training Details 
Methodology:
Merge using ties merge
LLM NameOpenOrca Zephyr 7B
Repository 🤗https://huggingface.co/Weyaxi/OpenOrca-Zephyr-7B 
Model Size7b
Required VRAM15 GB
Updated2025-09-14
MaintainerWeyaxi
Model Typemistral
Model Files  10.2 GB: 1-of-2   4.8 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the OpenOrca Zephyr 7B

Model
Likes
Downloads
VRAM
OpenOrca Zephyr 7B GGUF131263 GB
OpenOrca Zephyr 7B AWQ154 GB
OpenOrca Zephyr 7B GPTQ144 GB

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/OpenOrca-Zephyr-7B.

Rank the OpenOrca Zephyr 7B 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 v20241124
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