Model Parameters: Larger and Less Sparse
rasbt · x · 2026-07-16
The post shares a few observations regarding a specific model:
- The parameter count is 250B higher than GLM 5.2.
- It is less sparse than Kimi K2.5 1T: the latter has 3.2% sparsity and 32B active parameters, whereas this model has 4.2% sparsity and 41B active parameters.
- It does not use a hybrid architecture like Nemotron.
The author also expresses a strong desire to see a token/sec throughput comparison.
Related event: Kimi K3 Triggers a Reassessment of Chinese Frontier AI(94 posts)→
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