tern_tc_100m

A 100M-parameter ternary code model (BitNet b1.58 linears), trained on 10B tokens next to a full-precision twin, with the twin's scores beside it -- the ternary model is the weaker of the two.

The ternary model is weaker than its full-precision twin. This is a research checkpoint, not a coding assistant.

Every fact and every number about this model lives in model_card.t27 in this repository, and nowhere else: it is a t27 module that is compiled and tested by t27c. This README states none of them. The checkpoint is final.pt, loaded with the model.py next to it, using tokenizer.json.

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