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models/gemma3: remove final logit softcap (#9692)

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Softcap isn't in the whitepaper/implementation for the language model so we should remove it. There is no discernible difference in output with it removed.
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Bruce MacDonald 2025-03-12 10:17:57 -07:00 committed by GitHub
parent 6b45b1d6b4
commit a70820daa0
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1 changed files with 10 additions and 17 deletions
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27
model/models/gemma3/model_text.go
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@ -15,7 +15,6 @@ type TextOptions struct {
attnKeyLen, attnValLen int
eps, ropeScale float32
ropeLocalBase, ropeGlobalBase float32
finalLogitSoftcap float32
largeModelScaling bool
}
@ -57,16 +56,15 @@ func newTextModel(c ml.Config) *TextModel {
),
Layers: make([]TextLayer, numBlocks),
TextOptions: &TextOptions{
hiddenSize: int(c.Uint("embedding_length")),
numHeads: int(c.Uint("attention.head_count")),
numKVHeads: int(c.Uint("attention.head_count_kv")),
attnKeyLen: int(c.Uint("attention.key_length", 256)),
attnValLen: int(c.Uint("attention.value_length", 256)),
eps: c.Float("attention.layer_norm_rms_epsilon", 1e-06),
ropeLocalBase: c.Float("rope.local.freq_base", 10000.0),
ropeGlobalBase: c.Float("rope.global.freq_base", 1000000.0),
ropeScale: c.Float("rope.freq_scale", 1.0),
finalLogitSoftcap: c.Float("final_logit_softcapping", 30.0),
hiddenSize: int(c.Uint("embedding_length")),
numHeads: int(c.Uint("attention.head_count")),
numKVHeads: int(c.Uint("attention.head_count_kv")),
attnKeyLen: int(c.Uint("attention.key_length", 256)),
attnValLen: int(c.Uint("attention.value_length", 256)),
eps: c.Float("attention.layer_norm_rms_epsilon", 1e-06),
ropeLocalBase: c.Float("rope.local.freq_base", 10000.0),
ropeGlobalBase: c.Float("rope.global.freq_base", 1000000.0),
ropeScale: c.Float("rope.freq_scale", 1.0),
},
}
@ -245,10 +243,5 @@ func (m *TextModel) Forward(ctx ml.Context, inputs, positions, outputs ml.Tensor
}
hiddenState = m.OutputNorm.Forward(ctx, hiddenState, m.eps)
hiddenState = m.Output.Forward(ctx, hiddenState)
// final logit softcap
hiddenState = hiddenState.Scale(ctx, 1.0/float64(m.TextOptions.finalLogitSoftcap))
hiddenState = hiddenState.Tanh(ctx)
return hiddenState.Scale(ctx, float64(m.TextOptions.finalLogitSoftcap))
return m.Output.Forward(ctx, hiddenState)
}