AceMath 7B RM is an open-source language model by nvidia. Features: 7b LLM, VRAM: 14.2GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.2.
Arxiv:2412.15084 Acemath Conversational En Instruct Math Nvidia Pytorch Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/AceMath-7B-RM
AceMath 7B 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 7B RM Parameters and Internals
| LLM Name | AceMath 7B RM |
| Repository 🤗 | https://huggingface.co/nvidia/AceMath-7B-RM |
| Model Size | 7b |
| Required VRAM | 14.2 GB |
| Updated | 2026-05-21 |
| 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 7B RM Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a