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Orca 2 7B by microsoft

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  89501   
  Arxiv:2311.11045   Autotrain compatible   Endpoints compatible   Llama   Microsoft   Orca   Orca2   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/microsoft/Orca-2-7b 

Orca 2 7B Benchmarks

MMLU Pro: 14.65
GPQA: 1.45
MUSR: 24.09
BBH: 22.43
IFEval: 21.83 vs 88 (so35)-75.2%
ARC: 59.6 vs 96.7 (so35)-38.4%
HellaSwag: 71.2 vs 95.3 (gpt4)-25.3%
MMLU: 38.1 vs 88.3 (so35)-56.9%
TruthfulQA: 52.45 vs 59 (gpt4)-11.1%
WinoGrande: 73.48 vs 87.5 (gpt4)-16%
GSM8K: 15.6 vs 96.4 (so35)-83.8%
OpenCompas: 42.2 vs 73.3 (gpt4)-42.4%
Exam: 42.1 vs 77.2 (gpt4)-45.5%
Language: 35.3 vs 62 (gpt4)-43.1%
Knowledge: 50.4 vs 73.5 (gpt4)-31.4%
Understand: 50.3 vs 70 (gpt4)-28.1%
Reasoning: 38.9 vs 74.4 (gpt4)-47.7%
MATH Lvl 5: 1.96
LLME Score: 0.29513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca 2 7B (microsoft/Orca-2-7b)

Orca 2 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research purposes only
Primary Use Cases:
Building better frontier models
Limitations:
Not optimized for chat, Requires finetuning for specific tasks
Training Details 
Methodology:
Finetuning on synthetic data to enhance reasoning abilities.
LLM NameOrca 2 7B
Repository 🤗https://huggingface.co/microsoft/Orca-2-7b 
Model Size7b
Required VRAM27 GB
Updated2025-03-14
Maintainermicrosoft
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32003
Torch Data Typefloat32

Quantized Models of the Orca 2 7B

Model
Likes
Downloads
VRAM
Orca 2 7B GGUF5710132 GB
...1 Fine Tuned Using Ludwig 4bit110 GB
Orca 2 7B AWQ1853 GB
Orca 2 7B GPTQ4473 GB

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/Orca-2-7b.

Rank the Orca 2 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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Release v20241227
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