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@Matthewagi trained TERN-35B-A3B to try decision models. On an H100 PCIe it reached $0.0116/Mtok, then $0.00773/Mtok on the cost-score Pareto frontier.

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Matt @Matthewagi

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Poster from Matt (@Matthewagi)

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Training note with a photo. @Matthewagi says the goal of the TypeSafe Jev model is to unlock Jevon's paradox. They trained TERN-35B-A3B to play with decision models, aiming at the price frontier. On an H100 PCIe they reached $0.0116 per million tokens; modifications reached the cost-score Pareto frontier at $0.00773 per million tokens. For people training their own decision models.

Original posthttps://x.com/Matthewagi/status/2113370655957877177

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