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Qwen2.5 Math 72B Instruct by unsloth

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  Arxiv:2409.12122   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Math-72B-Instruct 

Qwen2.5 Math 72B Instruct Benchmarks

LLME Score: 0.22217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Math 72B Instruct (unsloth/Qwen2.5-Math-72B-Instruct)

Qwen2.5 Math 72B Instruct Parameters and Internals

LLM NameQwen2.5 Math 72B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-Math-72B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Math-72B-Instruct   Qwen/Qwen2.5-Math-72B-Instruct
Model Size72b
Required VRAM146 GB
Updated2025-02-05
Maintainerunsloth
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 Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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EVA Qwen2.5 72B V0.2128K / 146 GB295116
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Athene V2 Chat32K / 146 GB5665274
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Rombos LLM V2.5 Qwen 72B32K / 146.1 GB324135
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-Math-72B-Instruct.

Rank the Qwen2.5 Math 72B Instruct Capabilities

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Instruction Following and Task Automation  
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