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kherud / java-llama.cpp

Java Bindings for llama.cpp - A Port of Facebook's LLaMA model in C/C++
MIT License
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empty response #23

Closed mbofb closed 5 months ago

mbofb commented 11 months ago

response from Llama is empty 


/de/kherud/llama/Mac/aarch64
Extracted 'ggml-metal.metal' to '/var/folders/wz/px0l39312xjd44b4l574183w0000gn/T/ggml-metal.metal'
Extracted 'libllama.dylib' to '/var/folders/wz/px0l39312xjd44b4l574183w0000gn/T/libllama.dylib'
Extracted 'libjllama.dylib' to '/var/folders/wz/px0l39312xjd44b4l574183w0000gn/T/libjllama.dylib'
llama_model_loader: loaded meta data with 19 key-value pairs and 363 tensors from /Users/userxyz/Downloads/llama-2-13b-german-assistant-v2/llama-2-13b-german-assistant-v2.Q4_0.gguf (version GGUF V2 (latest))
llama_model_loader: - tensor    0:                token_embd.weight q4_0     [  5120, 32000,     1,     1 ]
llama_model_loader: - tensor    1:              blk.0.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    2:              blk.0.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    3:              blk.0.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    4:         blk.0.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    5:            blk.0.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor    6:              blk.0.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor    7:            blk.0.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor    8:           blk.0.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor    9:            blk.0.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   10:              blk.1.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   11:              blk.1.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   12:              blk.1.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   13:         blk.1.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   14:            blk.1.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   15:              blk.1.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   16:            blk.1.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   17:           blk.1.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   18:            blk.1.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   19:              blk.2.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   20:              blk.2.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   21:              blk.2.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   22:         blk.2.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   23:            blk.2.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   24:              blk.2.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   25:            blk.2.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   26:           blk.2.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   27:            blk.2.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   28:              blk.3.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   29:              blk.3.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   30:              blk.3.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   31:         blk.3.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   32:            blk.3.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   33:              blk.3.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   34:            blk.3.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   35:           blk.3.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   36:            blk.3.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   37:              blk.4.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   38:              blk.4.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   39:              blk.4.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   40:         blk.4.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   41:            blk.4.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   42:              blk.4.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   43:            blk.4.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   44:           blk.4.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   45:            blk.4.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   46:              blk.5.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   47:              blk.5.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   48:              blk.5.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   49:         blk.5.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   50:            blk.5.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   51:              blk.5.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   52:            blk.5.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   53:           blk.5.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   54:            blk.5.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   55:              blk.6.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   56:              blk.6.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   57:              blk.6.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   58:         blk.6.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   59:            blk.6.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   60:              blk.6.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   61:            blk.6.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   62:           blk.6.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   63:            blk.6.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   64:              blk.7.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   65:              blk.7.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   66:              blk.7.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   67:         blk.7.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   68:            blk.7.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   69:              blk.7.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   70:            blk.7.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   71:           blk.7.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   72:            blk.7.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   73:              blk.8.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   74:              blk.8.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   75:              blk.8.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   76:         blk.8.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   77:            blk.8.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   78:              blk.8.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   79:            blk.8.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   80:           blk.8.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   81:            blk.8.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   82:              blk.9.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   83:              blk.9.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   84:              blk.9.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   85:         blk.9.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   86:            blk.9.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   87:              blk.9.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   88:            blk.9.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   89:           blk.9.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   90:            blk.9.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   91:             blk.10.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   92:             blk.10.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   93:             blk.10.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   94:        blk.10.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   95:           blk.10.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   96:             blk.10.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   97:           blk.10.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   98:          blk.10.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   99:           blk.10.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  100:             blk.11.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  101:             blk.11.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  102:             blk.11.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  103:        blk.11.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  104:           blk.11.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  105:             blk.11.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  106:           blk.11.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  107:          blk.11.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  108:           blk.11.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  109:             blk.12.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  110:             blk.12.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  111:             blk.12.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  112:        blk.12.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  113:           blk.12.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  114:             blk.12.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  115:           blk.12.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  116:          blk.12.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  117:           blk.12.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  118:             blk.13.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  119:             blk.13.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  120:             blk.13.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  121:        blk.13.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  122:           blk.13.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  123:             blk.13.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  124:           blk.13.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  125:          blk.13.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  126:           blk.13.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  127:             blk.14.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  128:             blk.14.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  129:             blk.14.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  130:        blk.14.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  131:           blk.14.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  132:             blk.14.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  133:           blk.14.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  134:          blk.14.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  135:           blk.14.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  136:             blk.15.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  137:             blk.15.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  138:             blk.15.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  139:        blk.15.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  140:           blk.15.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  142:           blk.15.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  143:          blk.15.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  144:           blk.15.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  145:             blk.16.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  146:             blk.16.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  147:             blk.16.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  148:        blk.16.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  149:           blk.16.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  150:             blk.16.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  151:           blk.16.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  152:          blk.16.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  153:           blk.16.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  154:             blk.17.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  155:             blk.17.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  156:             blk.17.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  157:        blk.17.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  158:           blk.17.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  159:             blk.17.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  160:           blk.17.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  161:          blk.17.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  162:           blk.17.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  163:             blk.18.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  164:             blk.18.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  165:             blk.18.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  166:        blk.18.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  167:           blk.18.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  168:             blk.18.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  169:           blk.18.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  170:          blk.18.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  171:           blk.18.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  172:             blk.19.attn_q.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  173:             blk.19.attn_k.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  174:             blk.19.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  175:        blk.19.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  176:           blk.19.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  177:             blk.19.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  178:           blk.19.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  179:          blk.19.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  180:           blk.19.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  186:             blk.20.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  187:           blk.20.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  188:          blk.20.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  189:           blk.20.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  195:             blk.21.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  196:           blk.21.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  197:          blk.21.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  198:           blk.21.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  204:             blk.22.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  205:           blk.22.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  206:          blk.22.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  207:           blk.22.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  213:             blk.23.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  214:           blk.23.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  215:          blk.23.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  216:           blk.23.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  219:             blk.24.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  221:           blk.24.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  222:             blk.24.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  223:           blk.24.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  224:          blk.24.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  225:           blk.24.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  228:             blk.25.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  231:             blk.25.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  232:           blk.25.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  233:          blk.25.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  234:           blk.25.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  237:             blk.26.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  238:        blk.26.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  239:           blk.26.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  240:             blk.26.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  241:           blk.26.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  242:          blk.26.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  243:           blk.26.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  246:             blk.27.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  247:        blk.27.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  248:           blk.27.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  249:             blk.27.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  250:           blk.27.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  251:          blk.27.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  252:           blk.27.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  255:             blk.28.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  258:             blk.28.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  259:           blk.28.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  260:          blk.28.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  261:           blk.28.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  264:             blk.29.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  265:        blk.29.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  266:           blk.29.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  267:             blk.29.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  268:           blk.29.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  269:          blk.29.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  270:           blk.29.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  273:             blk.30.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  275:           blk.30.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  276:             blk.30.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  277:           blk.30.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  278:          blk.30.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  279:           blk.30.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  282:             blk.31.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  283:        blk.31.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  284:           blk.31.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  285:             blk.31.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  286:           blk.31.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  287:          blk.31.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  288:           blk.31.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  291:             blk.32.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  294:             blk.32.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  295:           blk.32.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  296:          blk.32.attn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  300:             blk.33.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  303:             blk.33.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  304:           blk.33.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  305:          blk.33.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  306:           blk.33.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  310:        blk.34.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
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llama_model_loader: - tensor  312:             blk.34.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  313:           blk.34.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  314:          blk.34.attn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  322:           blk.35.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  323:          blk.35.attn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  330:             blk.36.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  331:           blk.36.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  332:          blk.36.attn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  336:             blk.37.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  337:        blk.37.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  338:           blk.37.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  339:             blk.37.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  340:           blk.37.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  341:          blk.37.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  342:           blk.37.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  345:             blk.38.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  346:        blk.38.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  347:           blk.38.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  348:             blk.38.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  349:           blk.38.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  350:          blk.38.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  351:           blk.38.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
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llama_model_loader: - tensor  354:             blk.39.attn_v.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  355:        blk.39.attn_output.weight q4_0     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  356:           blk.39.ffn_gate.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  357:             blk.39.ffn_up.weight q4_0     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  358:           blk.39.ffn_down.weight q4_0     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  359:          blk.39.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  360:           blk.39.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  361:               output_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  362:                    output.weight q6_K     [  5120, 32000,     1,     1 ]
llama_model_loader: - kv   0:                       general.architecture str     
llama_model_loader: - kv   1:                               general.name str     
llama_model_loader: - kv   2:                       llama.context_length u32     
llama_model_loader: - kv   3:                     llama.embedding_length u32     
llama_model_loader: - kv   4:                          llama.block_count u32     
llama_model_loader: - kv   5:                  llama.feed_forward_length u32     
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32     
llama_model_loader: - kv   7:                 llama.attention.head_count u32     
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32     
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32     
llama_model_loader: - kv  10:                          general.file_type u32     
llama_model_loader: - kv  11:                       tokenizer.ggml.model str     
llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr     
llama_model_loader: - kv  13:                      tokenizer.ggml.scores arr     
llama_model_loader: - kv  14:                  tokenizer.ggml.token_type arr     
llama_model_loader: - kv  15:                tokenizer.ggml.bos_token_id u32     
llama_model_loader: - kv  16:                tokenizer.ggml.eos_token_id u32     
llama_model_loader: - kv  17:            tokenizer.ggml.padding_token_id u32     
llama_model_loader: - kv  18:               general.quantization_version u32     
llama_model_loader: - type  f32:   81 tensors
llama_model_loader: - type q4_0:  281 tensors
llama_model_loader: - type q6_K:    1 tensors
llm_load_print_meta: format           = GGUF V2 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = SPM
llm_load_print_meta: n_vocab          = 32000
llm_load_print_meta: n_merges         = 0
llm_load_print_meta: n_ctx_train      = 2048
llm_load_print_meta: n_embd           = 5120
llm_load_print_meta: n_head           = 40
llm_load_print_meta: n_head_kv        = 40
llm_load_print_meta: n_layer          = 40
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-05
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff             = 13824
llm_load_print_meta: freq_base_train  = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: model type       = 13B
llm_load_print_meta: model ftype      = mostly Q4_0
llm_load_print_meta: model params     = 13.02 B
llm_load_print_meta: model size       = 6.86 GiB (4.53 BPW) 
llm_load_print_meta: general.name   = flozi00_llama-2-13b-german-assistant-v2
llm_load_print_meta: BOS token = 1 '<s>'
llm_load_print_meta: EOS token = 2 '</s>'
llm_load_print_meta: UNK token = 0 '<unk>'
llm_load_print_meta: PAD token = 0 '<unk>'
llm_load_print_meta: LF token  = 13 '<0x0A>'
llm_load_tensors: ggml ctx size =    0.12 MB
llm_load_tensors: mem required  = 7024.02 MB
...................................................................................................
llama_new_context_with_model: n_ctx      = 512
llama_new_context_with_model: freq_base  = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: kv self size  =  400.00 MB
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M2
ggml_metal_init: picking default device: Apple M2
ggml_metal_init: default.metallib not found, loading from source
ggml_metal_init: loading '/var/folders/wz/px0l39312xjd44b4l574183w0000gn/T/ggml-metal.metal'
ggml_metal_init: loaded kernel_add                            0x119e1bf00 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_add_row                        0x119e1c4d0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul                            0x119e1cb30 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_row                        0x119e1d220 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_scale                          0x119e1d8b0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_silu                           0x119e1dea0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_relu                           0x119e1e490 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_gelu                           0x119e1ea80 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_soft_max                       0x102f10680 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_soft_max_4                     0x129e2fec0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_diag_mask_inf                  0x129e303a0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_diag_mask_inf_8                0x129e30800 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_f32                   0x119e1ecd0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_f16                   0x119e1f1b0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q4_0                  0x119e1f520 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q4_1                  0x119e1f890 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q8_0                  0x119e1fc00 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q2_K                  0x119e1ff70 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q3_K                  0x119e202e0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q4_K                  0x103009840 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q5_K                  0x103009fe0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_get_rows_q6_K                  0x10300a350 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_rms_norm                       0x102f108d0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_norm                           0x102f10f30 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_f32_f32                 0x102f112a0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_f16_f32                 0x102f11610 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_f16_f32_1row            0x102f119e0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_f16_f32_l4              0x102f11f50 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q4_0_f32                0x102f122c0 | th_max =  896 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q4_1_f32                0x102f128a0 | th_max =  896 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q8_0_f32                0x102f12c10 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q2_K_f32                0x102f12f80 | th_max =  640 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q3_K_f32                0x119e20530 | th_max =  576 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q4_K_f32                0x119e20a20 | th_max =  576 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q5_K_f32                0x119e20d90 | th_max =  576 | th_width =   32
ggml_metal_init: loaded kernel_mul_mv_q6_K_f32                0x119e21100 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_f32_f32                 0x102f131d0 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_f16_f32                 0x102f136b0 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q4_0_f32                0x102f13a80 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q8_0_f32                0x102f13df0 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q4_1_f32                0x102f14160 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q2_K_f32                0x102f144d0 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q3_K_f32                0x102f14840 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q4_K_f32                0x102f14bb0 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q5_K_f32                0x102f14f20 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_mul_mm_q6_K_f32                0x102f15290 | th_max =  768 | th_width =   32
ggml_metal_init: loaded kernel_rope_f32                       0x102f15600 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_rope_f16                       0x102f15b60 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_alibi_f32                      0x102f15ed0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_cpy_f32_f16                    0x102f16240 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_cpy_f32_f32                    0x102f165b0 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_cpy_f16_f16                    0x102f16920 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_concat                         0x102f16c90 | th_max = 1024 | th_width =   32
ggml_metal_init: loaded kernel_sqr                            0x102f17280 | th_max = 1024 | th_width =   32
ggml_metal_init: GPU name:   Apple M2
ggml_metal_init: GPU family: MTLGPUFamilyApple8 (1008)
ggml_metal_init: hasUnifiedMemory              = true
ggml_metal_init: recommendedMaxWorkingSetSize  = 16384.02 MB
ggml_metal_init: maxTransferRate               = built-in GPU
ggml_metal_add_buffer: allocated 'data            ' buffer, size =  7024.61 MB, ( 7025.23 / 16384.02)
ggml_metal_add_buffer: allocated 'kv              ' buffer, size =   402.00 MB, ( 7427.23 / 16384.02)
ggml_metal_add_buffer: allocated 'alloc           ' buffer, size =    75.02 MB, ( 7502.25 / 16384.02)
llama_new_context_with_model: compute buffer total size = 81.13 MB
llama_new_context_with_model: max tensor size =   128.17 MB
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abadelt commented 10 months ago

I had the same issue. In my case it was caused by the addition of "inferenceParameters.setAntiPrompt("\n");" When I use some other string than newline or don't set the anti-prompt at all, I get answers.

mbofb commented 10 months ago

changing setAntiPrompt on the model I used did not help to get text for this model, but I tried another model (nous-hermes-llama-2-7b/nous-hermes-llama-2-7b.Q4_0.gguf) and it works now for this different model.

kherud commented 5 months ago

I just released version 3.0 and the problems should hopefully no longer occur. Otherwise, feel free to re-open.