Model Card on HF 🤗: https://huggingface.co/nvidia/AceMath-72B-RM
AceMath 72B RM 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)
AceMath 72B RM Parameters and Internals
| LLM Name | AceMath 72B RM |
| Repository 🤗 | https://huggingface.co/nvidia/AceMath-72B-RM |
| Model Size | 72b |
| Required VRAM | 143.5 GB |
| Updated | 2025-05-21 |
| Maintainer | nvidia |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForSequenceClassification |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Rank the AceMath 72B RM Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227