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Smaug Qwen2 72B Instruct by abacusai

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Smaug Qwen2 72B Instruct Benchmarks

MMLU Pro: 46.56
GPQA: 14.88
MUSR: 15.18
BBH: 56.27
IFEval: 78.25 vs 88 (so35)-11.1%
MATH Lvl 5: 35.35
LLME Score: 0.40127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smaug Qwen2 72B Instruct Parameters and Internals

LLM NameSmaug Qwen2 72B Instruct
Repository 🤗https://huggingface.co/abacusai/Smaug-Qwen2-72B-Instruct 
Merged ModelYes
Model Size72b
Required VRAM146 GB
Updated2024-10-12
Maintainerabacusai
Model Typeqwen2
Instruction-BasedYes
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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Smaug Qwen2 72B Instruct (abacusai/Smaug-Qwen2-72B-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than abacusai/Smaug-Qwen2-72B-Instruct.

Rank the Smaug Qwen2 72B Instruct Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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