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gemma : use more bits for the token_embd.weight tensor (#5650)
* gemma : use Q8_0 for the token_embd.weight tensor * llama : quantize token_embd.weight using output type
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@ -10498,7 +10498,10 @@ static ggml_type get_k_quant_type(quantize_state_internal & qs, ggml_type new_ty
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return std::make_pair(i_layer, n_layer);
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};
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if (name == tn(LLM_TENSOR_OUTPUT, "weight")) {
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// for arches that share the same tensor between the token embeddings and the output, we quantize the token embeddings
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// with the quantization of the output tensor
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if (name == tn(LLM_TENSOR_OUTPUT, "weight") ||
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(LLM_TENSOR_NAMES.at(arch).find(LLM_TENSOR_OUTPUT) == LLM_TENSOR_NAMES.at(arch).end() && name == "token_embd.weight")) {
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int nx = tensor->ne[0];
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if (arch == LLM_ARCH_FALCON || nx % QK_K != 0) {
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new_type = GGML_TYPE_Q8_0;
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