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Qwen2 : assume tied weights if lm_head/output weights is missing (#6738)

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Ren Xuancheng 2024-04-18 19:38:04 +08:00 committed by GitHub
parent c71bfd736e
commit e11b2e6e1e
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1 changed files with 7 additions and 1 deletions
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llama.cpp
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@ -5184,7 +5184,13 @@ static bool llm_load_tensors(
// output // output
{ {
model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}); model.output_norm = ml.create_tensor(ctx_output, tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}); model.output = ml.create_tensor(ctx_output_split, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, false);
// if output is NULL, init from the input tok embed
if (model.output == NULL) {
model.output = ml.create_tensor(ctx_output, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
ml.n_created--; // artificial tensor
ml.size_data += ggml_nbytes(model.output);
}
} }
for (int i = 0; i < n_layer; ++i) { for (int i = 0; i < n_layer; ++i) {