Benchmarks1y ago
qwen2.5 - GAIA
GAIA score 4.7 from rft-2
View sourceQwen
Qwen2.5-Math-7B-PRM800K serves as the baseline in ProcessBench, solely for reproduction purposes. It is obtained by fine-tuning Qwen2.5-Math-7B-Instruct on the training set of open-source dataset PRM800K. We treat the original 1 and 0 labels in PRM800K as our positive labels, while -1 as negative ones.
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17.0
Quality Score
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Arena ELO
8B
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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298
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28
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Jan 2025
Released
4/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
8B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Benchmarks
1
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
GAIA score 4.7 from rft-2
View sourceQwen2.5-Math-7B-PRM800K 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.
Qwen2.5-Math-7B-PRM800K 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.