AceMath 72B RM is an open-source language model by nvidia. Features: 72b LLM, VRAM: 143.5GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.19.
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 | 2026-05-26 |
| 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
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 53999 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a