Model Card on HF 🤗: https://huggingface.co/FR3E-Bytedance/FR3E-Math-7B
FR3E Math 7B 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)
FR3E Math 7B Parameters and Internals
| LLM Name | FR3E Math 7B |
| Repository 🤗 | https://huggingface.co/FR3E-Bytedance/FR3E-Math-7B |
| Model Size | 7b |
| Required VRAM | 15.3 GB |
| Updated | 2025-07-19 |
| Maintainer | FR3E-Bytedance |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to FR3E Math 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 2171991 | 338 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 913 | 6 |
| Hush Qwen2.5 7B V1.2 | 986K / 15.2 GB | 2 | 1 |
| Hush Qwen2.5 7B V1.1 | 986K / 15.2 GB | 3 | 1 |
| Hush Qwen2.5 7B V1.4 | 986K / 15.2 GB | 2 | 1 |
| Hush Qwen2.5 7B Preview | 986K / 15.2 GB | 5 | 0 |
| Hush Qwen2.5 7B V1.3 | 986K / 15.2 GB | 2 | 2 |
| Qwen2.5 7B Preview | 986K / 15.2 GB | 7 | 0 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 4 | 2 |
| Qwen 2.5 7B Exp Sce | 986K / 15.2 GB | 2 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than FR3E-Bytedance/FR3E-Math-7B .
Rank the FR3E Math 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124