Microsoft
GridSFM is not a generative language model and does not generate open-ended content. As such, no standard LLM alignment techniques were applied. Instead, risk mitigation focuses on constrained outputs, clear documentation of intended use, and restricting use to research contexts involving simulated data.
Running this yourself: can likely run on your own machine.
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24.2
Quality Score
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Arena ELO
Unknown
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.
14 of 22 public signals
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0
Downloads
26
Likes
May 2026
Released
3/5 signals
2/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources