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Orca Mini V7 72B by pankajmathur

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  Arxiv:2309.00071   Autotrain compatible   Conversational   Endpoints compatible   Model-index   Pytorch   Qwen2   Region:us   Sharded

Orca Mini V7 72b Benchmarks

MMLU Pro: 51.35
GPQA: 18.01
MUSR: 24.21
BBH: 55.06
IFEval: 59.3 vs 88 (so35)-32.6%
MATH Lvl 5: 26.44
LLME Score: 0.39397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Orca Mini V7 72B Parameters and Internals

LLM NameOrca Mini V7 72b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v7_72b 
Model Size72b
Required VRAM146 GB
Updated2024-10-18
Maintainerpankajmathur
Model Typeqwen2
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Orca Mini V7 72B (pankajmathur/orca_mini_v7_72b)

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Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v7_72b.

Rank the Orca Mini V7 72B Capabilities

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Release v2024072803
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