Qwen 2.5 Math 7B Max V3 Accuracy by chenggong1995

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  Arxiv:2402.03300   Autotrain compatible Base model:chenggong1995/qwen-... Base model:finetune:chenggong1...   Conversational Dataset:digitallearninggmbh/ma...   Endpoints compatible   Generated from trainer   Grpo   Open-r1   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl

Qwen 2.5 Math 7B Max V3 Accuracy Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 2.5 Math 7B Max V3 Accuracy (chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy)
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Qwen 2.5 Math 7B Max V3 Accuracy Parameters and Internals

LLM NameQwen 2.5 Math 7B Max V3 Accuracy
Repository ๐Ÿค—https://huggingface.co/chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy 
Model NameQwen-2.5-Math-7B-Max-v3-accuracy
Base Model(s)  chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy   chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy
Model Size7b
Required VRAM15.2 GB
Updated2025-09-20
Maintainerchenggong1995
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124