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Orca Mini V3 7B by psmathur

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  Arxiv:2302.13971   Arxiv:2306.02707   Autotrain compatible   Dataset:ehartford/dolphin Dataset:psmathur/orca mini v1 ...   En   Endpoints compatible   Fp16   Llama   Model-index   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v3_7b 

Orca Mini V3 7b Benchmarks

MMLU Pro: 12.04
MUSR: 22.71
BBH: 17.84
IFEval: 28.21 vs 88 (so35)-67.9%
ARC: 56.91 vs 96.7 (so35)-41.1%
HellaSwag: 79.64 vs 95.3 (gpt4)-16.4%
MMLU: 52.37 vs 88.3 (so35)-40.7%
TruthfulQA: 50.51 vs 59 (gpt4)-14.4%
WinoGrande: 74.27 vs 87.5 (gpt4)-15.1%
GSM8K: 7.13 vs 96.4 (so35)-92.6%
MATH Lvl 5: 1.06
LLME Score: 0.18085
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini V3 7B (pankajmathur/orca_mini_v3_7b)

Orca Mini V3 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
While the model aims for accuracy, it can occasionally produce inaccurate, misleading, or biased content. Users should exercise caution and cross-check information when necessary.
LLM NameOrca Mini V3 7b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v3_7b 
Base Model(s)  Orca Mini 7b   pankajmathur/orca_mini_7b
Model Size7b
Required VRAM13.5 GB
Updated2025-05-16
Maintainerpsmathur
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v3_7b.

Rank the Orca Mini V3 7B 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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Release v20241227
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