alibaba-pai
DistilQwen-ThoughtX is a series of high-performance reasoning models trained on the OmniThought dataset. These models are optimized for chain-of-thought (CoT) reasoning with balanced verbosity and cognitive difficulty, achieving state-of-the-art results on mathematical, coding, and logical reasoning benchmarks.
Running this yourself: consumer gpu should be enough.
These models are optimized for chain-of-thought (CoT) reasoning with balanced verbosity and cognitive difficulty, achieving state-of-the-art results on mathematical, coding, and logical reasoning benchmarks.
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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.
11 of 22 public signals
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May 2025
Released
3/5 signals
0/4 signals
3/5 signals
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2/4 signals
Parameters
8B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources