Orca 2 7B by microsoft

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  Arxiv:2311.11045   Autotrain compatible   Endpoints compatible   Llama   Microsoft   Orca   Orca2   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/microsoft/Orca-2-7b 

Orca 2 7B Benchmarks

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 ๐Ÿค—https://huggingface.co/microsoft/Orca-2-7b 
Model Size7b
Required VRAM27 GB
Updated2025-02-05
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 GGUF577672 GB
...1 Fine Tuned Using Ludwig 4bit130 GB
Orca 2 7B GPTQ4383 GB
Orca 2 7B AWQ1153 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227