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Update gptneox-main.cpp
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@ -565,8 +565,8 @@ bool gpt_neox_model_load(const std::string & fname, gpt_neox_model & model, gpt2
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std::string blocknamestart = "transformer.blocks." + std::to_string(i) + ".";
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layer.ln_1_g = get_tensor_ex(ctx, blocknamestart + "attn_norm_1.weight" );
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layer.ln_1_b = get_tensor_ex(ctx, blocknamestart + "attn_norm_1.bias" );
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layer.ln_1_g = get_tensor_ex(ctx, blocknamestart + "attn_norm.weight" );
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layer.ln_1_b = get_tensor_ex(ctx, blocknamestart + "attn_norm.bias" );
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layer.c_attn_attn_w = get_tensor_ex(ctx, blocknamestart + "attn_qkv.weight" );
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layer.c_attn_attn_b = get_tensor_ex(ctx ,blocknamestart + "attn_qkv.bias" );
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@ -584,8 +584,8 @@ bool gpt_neox_model_load(const std::string & fname, gpt_neox_model & model, gpt2
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layer.c_mlp_proj_b = get_tensor_ex(ctx, blocknamestart + "ffn_down.bias" );
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// map by name
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model.tensors[blocknamestart + "attn_norm_1.weight"] = layer.ln_1_g;
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model.tensors[blocknamestart + "attn_norm_1.bias"] = layer.ln_1_b;
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model.tensors[blocknamestart + "attn_norm.weight"] = layer.ln_1_g;
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model.tensors[blocknamestart + "attn_norm.bias"] = layer.ln_1_b;
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model.tensors[blocknamestart + "attn_qkv.weight"] = layer.c_attn_attn_w;
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model.tensors[blocknamestart + "attn_qkv.bias"] = layer.c_attn_attn_b;
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