Qwen 2.5 Math 7B Max V3 Accuracy is an open-source language model by chenggong1995. Features: 7b LLM, VRAM: 15.2GB, Context: 4K, LLM Explorer Score: 0.18.
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
Model Card on HF 🤗: https://huggingface.co/chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy
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").
What is the LLM Explorer Rank (Score)
Qwen 2.5 Math 7B Max V3 Accuracy Parameters and Internals
| LLM Name | Qwen 2.5 Math 7B Max V3 Accuracy |
| Repository 🤗 | https://huggingface.co/chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy |
| Model Name | Qwen-2.5-Math-7B-Max-v3-accuracy |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-09-20 |
| Maintainer | chenggong1995 |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen 2.5 Math 7B Max V3 Accuracy
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Preview | 986K / 15.2 GB | 5 | 0 |
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 101838 | 363 |
| Hush Qwen2.5 7B V1.2 | 986K / 15.2 GB | 3 | 1 |
| Hush Qwen2.5 7B V1.1 | 986K / 15.2 GB | 6 | 1 |
| Hush Qwen2.5 7B V1.4 | 986K / 15.2 GB | 4 | 1 |
| Hush Qwen2.5 7B Preview | 986K / 15.2 GB | 5 | 0 |
| Hush Qwen2.5 7B V1.3 | 986K / 15.2 GB | 4 | 2 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 4 | 2 |
| Qwen 2.5 7B Exp Sce | 986K / 15.2 GB | 8 | 2 |
| Qwen2.5 7B MixStock V0.1 | 986K / 15.2 GB | 30 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than chenggong1995/Qwen-2.5-Math-7B-Max-v3-accuracy .
Rank the Qwen 2.5 Math 7B Max V3 Accuracy Capabilities
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Release v20260328a