4 ms·
It's because they're natively trained with 1 bit, so it's not losing anything. Now, the question might be how they manage to get decent predictive performance
by MarsIronPI 6mo ago
It's because they're natively trained with 1 bit, so it's not losing anything. Now, the question might be how they manage to get decent predictive performance with such little precision. That I don't know.
- syntaxpr 6mo agoNot training. Transposing rows/columns of matrices to group 128 parameters with similar (shared) scale factor. Qwen-3 model.
- MarsIronPI 6mo agoI'm not sure what you mean. Could you please elaborate?