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Smaug 2 72B by abacusai

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  Arxiv:1910.09700   Arxiv:2402.13228   Autotrain compatible Base model:finetune:qwen/qwen1... Base model:qwen/qwen1.5-72b-ch...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abacusai/Smaug-2-72B 

Smaug 2 72B Benchmarks

ARC: 67.92 vs 96.7 (so35)-29.8%
HellaSwag: 86.37 vs 95.3 (gpt4)-9.4%
MMLU: 77.73 vs 88.3 (so35)-12%
TruthfulQA: 64.9 vs 59 (gpt4)10%
WinoGrande: 81.61 vs 87.5 (gpt4)-6.7%
GSM8K: 38.51 vs 96.4 (so35)-60.1%
LLME Score: 0.17161
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Smaug 2 72B Parameters and Internals

Additional Notes 
Smaug-2 uses new techniques and new data compared to the previous versions.
LLM NameSmaug 2 72B
Repository 🤗https://huggingface.co/abacusai/Smaug-2-72B 
Base Model(s)  Qwen/Qwen1.5-72B-Chat   Qwen/Qwen1.5-72B-Chat
Model Size72b
Required VRAM144.5 GB
Updated2025-06-10
Maintainerabacusai
Model Typeqwen2
Model Files  4.8 GB: 1-of-30   5.0 GB: 2-of-30   5.0 GB: 3-of-30   4.8 GB: 4-of-30   4.8 GB: 5-of-30   4.8 GB: 6-of-30   5.0 GB: 7-of-30   5.0 GB: 8-of-30   4.8 GB: 9-of-30   4.8 GB: 10-of-30   4.8 GB: 11-of-30   5.0 GB: 12-of-30   5.0 GB: 13-of-30   4.8 GB: 14-of-30   4.8 GB: 15-of-30   4.8 GB: 16-of-30   5.0 GB: 17-of-30   5.0 GB: 18-of-30   4.8 GB: 19-of-30   4.8 GB: 20-of-30   4.8 GB: 21-of-30   5.0 GB: 22-of-30   5.0 GB: 23-of-30   4.8 GB: 24-of-30   4.8 GB: 25-of-30   4.8 GB: 26-of-30   5.0 GB: 27-of-30   5.0 GB: 28-of-30   4.8 GB: 29-of-30   2.9 GB: 30-of-30
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Smaug 2 72B (abacusai/Smaug-2-72B)

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Note: green Score (e.g. "73.2") means that the model is better than abacusai/Smaug-2-72B.

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