Qwen/Qwen2.5-Math-RM-72B · Hugging Face
Qwen published benchmark or leaderboard evidence for Qwen2.5-Math-RM-72B.
View sourceQwen
Qwen2.5-Math-RM-72B is specifically designed to guide the Qwen2.5-Math model throughout the training process by offering more granular feedback on the quality of reasoning and intermediate steps, ultimately facilitating more robust model improvements.
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20.3
Quality Score
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Arena ELO
73B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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41.3K
Downloads
89
Likes
Sep 2024
Released
4/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
73B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Benchmarks
2
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Qwen published benchmark or leaderboard evidence for Qwen2.5-Math-RM-72B.
View sourceGAIA score 4.7 from rft-2
View sourceQwen2.5-Math-RM-72B is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
View sourceQwen2.5-Math-RM-72B is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
Qwen published benchmark or leaderboard evidence for Qwen2.5-Math-RM-72B.