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llama-quant : fix the verification of attention layers for encoder-decoder models #16023

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Sep 17, 2025
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llama-quant : fix the verification of attention layers for encoder-decoder models #16023

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4 changes: 3 additions & 1 deletion src/llama-quant.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -725,7 +725,9 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
// attention layers have a non-zero number of kv heads
int32_t n_attn_layer = model.hparams.n_layer - std::count(n_head_kv_iter, n_head_kv_iter + model.hparams.n_layer, 0);
if (llama_model_has_encoder(&model)) {
n_attn_layer *= 3;
// now n_attn_layer is the number of attention layers in the encoder
// for each decoder block, there are 2 attention layers
n_attn_layer += 2 * model.hparams.dec_n_layer;
}
GGML_ASSERT((qs.n_attention_wv == n_attn_layer - pruned_attention_w) && "n_attention_wv is unexpected");
}
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