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Tess V2.5.2 Qwen2 72B by migtissera

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

Tess V2.5.2 Qwen2 72B Benchmarks

MMLU Pro: 50.68
GPQA: 13.42
MUSR: 10.89
BBH: 52.31
IFEval: 44.94 vs 88 (so35)-48.9%
MATH Lvl 5: 27.42
LLME Score: 0.39163
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tess V2.5.2 Qwen2 72B Parameters and Internals

LLM NameTess V2.5.2 Qwen2 72B
Repository 🤗https://huggingface.co/migtissera/Tess-v2.5.2-Qwen2-72B 
Model Size72b
Required VRAM146 GB
Updated2024-09-07
Maintainermigtissera
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
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|end_of_text|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Tess V2.5.2 Qwen2 72B (migtissera/Tess-v2.5.2-Qwen2-72B)

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-v2.5.2-Qwen2-72B.

Rank the Tess V2.5.2 Qwen2 72B Capabilities

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Release v2024072803
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