Memory keeps increasing for each inference

[katopz]

Say hi and get memory stack up and never decrease until exit.

Command

wasmedge --dir .:. --env n_gpu_layers=35 --nn-preload default:GGML:AUTO:mistral-7b-codealpaca-lora.Q4_K_M.gguf wasmedge-ggml-llama-interactive.wasm default

Output

Question:
hi
llama_model_loader: loaded meta data with 20 key-value pairs and 291 tensors from mistral-7b-codealpaca-lora.Q4_K_M.gguf (version unknown)
llama_model_loader: - tensor    0:                token_embd.weight q4_K     [  4096, 32000,     1,     1 ]
llama_model_loader: - tensor    1:           blk.0.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor    2:            blk.0.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor    4:              blk.0.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor    5:            blk.0.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor    6:              blk.0.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor    7:         blk.0.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor    8:              blk.0.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor    9:              blk.0.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   10:           blk.1.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   11:            blk.1.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   13:              blk.1.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   14:            blk.1.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   15:              blk.1.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   16:         blk.1.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   17:              blk.1.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   18:              blk.1.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   19:          blk.10.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   20:           blk.10.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   21:           blk.10.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   22:             blk.10.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   23:           blk.10.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   24:             blk.10.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   25:        blk.10.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   26:             blk.10.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   27:             blk.10.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   28:          blk.11.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   29:           blk.11.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   30:           blk.11.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   31:             blk.11.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   32:           blk.11.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   33:             blk.11.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   34:        blk.11.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   35:             blk.11.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   36:             blk.11.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   37:          blk.12.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   38:           blk.12.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   39:           blk.12.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   40:             blk.12.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   41:           blk.12.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   42:             blk.12.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   43:        blk.12.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   44:             blk.12.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   45:             blk.12.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   46:          blk.13.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   47:           blk.13.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   48:           blk.13.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   49:             blk.13.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   50:           blk.13.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   51:             blk.13.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   52:        blk.13.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   53:             blk.13.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   54:             blk.13.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   55:          blk.14.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   56:           blk.14.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   57:           blk.14.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   58:             blk.14.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   59:           blk.14.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   60:             blk.14.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   61:        blk.14.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   62:             blk.14.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   63:             blk.14.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   64:          blk.15.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   65:           blk.15.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   66:           blk.15.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   67:             blk.15.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   68:           blk.15.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   69:             blk.15.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   70:        blk.15.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   71:             blk.15.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   72:             blk.15.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   73:          blk.16.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   74:           blk.16.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   75:           blk.16.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   76:             blk.16.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   77:           blk.16.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   78:             blk.16.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   79:        blk.16.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   80:             blk.16.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   81:             blk.16.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   82:          blk.17.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   83:           blk.17.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   84:           blk.17.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   85:             blk.17.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   86:           blk.17.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   87:             blk.17.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   88:        blk.17.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   89:             blk.17.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   90:             blk.17.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   91:          blk.18.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   92:           blk.18.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor   93:           blk.18.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   94:             blk.18.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor   95:           blk.18.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor   96:             blk.18.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor   97:        blk.18.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   98:             blk.18.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor   99:             blk.18.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  100:          blk.19.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  101:           blk.19.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  102:           blk.19.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  103:             blk.19.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  104:           blk.19.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  105:             blk.19.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  106:        blk.19.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  107:             blk.19.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  108:             blk.19.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  109:           blk.2.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  110:            blk.2.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  111:            blk.2.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  112:              blk.2.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  113:            blk.2.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  114:              blk.2.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  115:         blk.2.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  116:              blk.2.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  117:              blk.2.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  118:          blk.20.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  119:           blk.20.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  120:           blk.20.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  121:             blk.20.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  122:           blk.20.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  123:             blk.20.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  124:        blk.20.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  125:             blk.20.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  126:             blk.20.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  127:          blk.21.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  128:           blk.21.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  129:           blk.21.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  130:             blk.21.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  131:           blk.21.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  132:             blk.21.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  133:        blk.21.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  134:             blk.21.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  135:             blk.21.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  136:             blk.22.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  137:        blk.22.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  138:             blk.22.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  139:             blk.22.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  140:           blk.3.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  141:            blk.3.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  142:            blk.3.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  143:              blk.3.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  144:            blk.3.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  145:              blk.3.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  146:         blk.3.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  147:              blk.3.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  148:              blk.3.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  149:           blk.4.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  150:            blk.4.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  151:            blk.4.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  152:              blk.4.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  153:            blk.4.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  154:              blk.4.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  155:         blk.4.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  156:              blk.4.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  157:              blk.4.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  158:           blk.5.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  159:            blk.5.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  160:            blk.5.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  161:              blk.5.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  162:            blk.5.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  163:              blk.5.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  164:         blk.5.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  165:              blk.5.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  166:              blk.5.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  167:           blk.6.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  168:            blk.6.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  169:            blk.6.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  170:              blk.6.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  171:            blk.6.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  172:              blk.6.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  173:         blk.6.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  174:              blk.6.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  175:              blk.6.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  176:           blk.7.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  177:            blk.7.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  178:            blk.7.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  179:              blk.7.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  180:            blk.7.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  181:              blk.7.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  182:         blk.7.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  183:              blk.7.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  184:              blk.7.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  185:           blk.8.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  186:            blk.8.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  187:            blk.8.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  188:              blk.8.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  189:            blk.8.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  190:              blk.8.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  191:         blk.8.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  192:              blk.8.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  193:              blk.8.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  194:           blk.9.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  195:            blk.9.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  196:            blk.9.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  197:              blk.9.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  198:            blk.9.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  199:              blk.9.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  200:         blk.9.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  201:              blk.9.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  202:              blk.9.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  203:                    output.weight q6_K     [  4096, 32000,     1,     1 ]
llama_model_loader: - tensor  204:          blk.22.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  205:           blk.22.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  206:           blk.22.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  207:             blk.22.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  208:           blk.22.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  209:          blk.23.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  210:           blk.23.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  211:           blk.23.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  212:             blk.23.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  213:           blk.23.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  214:             blk.23.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  215:        blk.23.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  216:             blk.23.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  217:             blk.23.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  218:          blk.24.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  219:           blk.24.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  220:           blk.24.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  221:             blk.24.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  222:           blk.24.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  223:             blk.24.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  224:        blk.24.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  225:             blk.24.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  226:             blk.24.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  227:          blk.25.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  228:           blk.25.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  229:           blk.25.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  230:             blk.25.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  231:           blk.25.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  232:             blk.25.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  233:        blk.25.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  234:             blk.25.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  235:             blk.25.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  236:          blk.26.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  237:           blk.26.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  238:           blk.26.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  239:             blk.26.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  240:           blk.26.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  241:             blk.26.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  242:        blk.26.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  243:             blk.26.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  244:             blk.26.attn_v.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  245:          blk.27.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  246:           blk.27.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  247:           blk.27.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  248:             blk.27.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  249:           blk.27.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  250:             blk.27.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  251:        blk.27.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  252:             blk.27.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  253:             blk.27.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  254:          blk.28.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  255:           blk.28.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  256:           blk.28.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  257:             blk.28.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  258:           blk.28.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  259:             blk.28.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  260:        blk.28.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  261:             blk.28.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  262:             blk.28.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  263:          blk.29.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  264:           blk.29.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  265:           blk.29.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  266:             blk.29.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  267:           blk.29.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  268:             blk.29.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  269:        blk.29.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  270:             blk.29.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  271:             blk.29.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  272:          blk.30.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  273:           blk.30.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  274:           blk.30.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  275:             blk.30.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  276:           blk.30.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  277:             blk.30.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  278:        blk.30.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  279:             blk.30.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  280:             blk.30.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  281:          blk.31.attn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  282:           blk.31.ffn_down.weight q6_K     [ 14336,  4096,     1,     1 ]
llama_model_loader: - tensor  283:           blk.31.ffn_gate.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  284:             blk.31.ffn_up.weight q4_K     [  4096, 14336,     1,     1 ]
llama_model_loader: - tensor  285:           blk.31.ffn_norm.weight f32      [  4096,     1,     1,     1 ]
llama_model_loader: - tensor  286:             blk.31.attn_k.weight q4_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  287:        blk.31.attn_output.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  288:             blk.31.attn_q.weight q4_K     [  4096,  4096,     1,     1 ]
llama_model_loader: - tensor  289:             blk.31.attn_v.weight q6_K     [  4096,  1024,     1,     1 ]
llama_model_loader: - tensor  290:               output_norm.weight f32      [  4096,     1,     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:                       llama.rope.freq_base f32     
llama_model_loader: - kv  11:                          general.file_type u32     
llama_model_loader: - kv  12:                       tokenizer.ggml.model str     
llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr     
llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr     
llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr     
llama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32     
llama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32     
llama_model_loader: - kv  18:            tokenizer.ggml.padding_token_id u32     
llama_model_loader: - kv  19:               general.quantization_version u32     
llama_model_loader: - type  f32:   65 tensors
llama_model_loader: - type q4_K:  193 tensors
llama_model_loader: - type q6_K:   33 tensors
llm_load_print_meta: format           = unknown
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      = 32768
llm_load_print_meta: n_embd           = 4096
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 8
llm_load_print_meta: n_layer          = 32
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_gqa            = 4
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             = 14336
llm_load_print_meta: freq_base_train  = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: model type       = 7B
llm_load_print_meta: model ftype      = mostly Q4_K - Medium
llm_load_print_meta: model params     = 7.24 B
llm_load_print_meta: model size       = 4.07 GiB (4.83 BPW) 
llm_load_print_meta: general.name   = nondzu_mistral-7b-codealpaca-lora
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 =    0.10 MB
llm_load_tensors: using CUDA for GPU acceleration
llm_load_tensors: mem required  =   70.41 MB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 35/35 layers to GPU
llm_load_tensors: VRAM used: 4095.05 MB
.................................................................................................
llama_new_context_with_model: n_ctx      = 1024
llama_new_context_with_model: freq_base  = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: offloading v cache to GPU
llama_kv_cache_init: offloading k cache to GPU
llama_kv_cache_init: VRAM kv self = 128.00 MB
llama_new_context_with_model: kv self size  =  128.00 MB
llama_new_context_with_model: compute buffer total size = 96.13 MB
llama_new_context_with_model: VRAM scratch buffer: 90.00 MB
llama_new_context_with_model: total VRAM used: 4313.06 MB (model: 4095.05 MB, context: 218.00 MB)
Answer:
[2023-11-06 14:38:45.962] [info] [WASI-NN] GGML backend: llama_system_info: AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | 
 I'm here to help answer any questions or provide information you need. What's on your mind?
llama_print_timings:        load time =     875.86 ms
llama_print_timings:      sample time =       0.66 ms /    23 runs   (    0.03 ms per token, 35114.50 tokens per second)
llama_print_timings: prompt eval time =      81.66 ms /    72 tokens (    1.13 ms per token,   881.69 tokens per second)
llama_print_timings:        eval time =     202.79 ms /    22 runs   (    9.22 ms per token,   108.49 tokens per second)
llama_print_timings:       total time =    1079.58 ms

Question:

nvidia-smi

1. 5138MiB / 24564MiB
2. 9570MiB / 24564MiB
3. 14006MiB / 24564MiB

Only me?

[hydai]

Hi @katopz I would like to know how to reproduce this: Does it say hi once and get the memory increase from 5138MB to 14007MB?

[katopz]

I said hi 3 times but github not allow me to attach huge log so I captured only latest one.

[hydai]

I said hi 3 times but github not allow me to attach huge log so I captured only latest one.

Got it. Will try to reproduce and get you back.

[hydai]

I can reproduce this issue. Now, I am digging into the model loading phase to check if there is anything wrong that caused this issue.

[hydai]

Hi @katopz I rebuilt the asset to add a patch to it, could you please try to install it again and check if the memory is still keeping growing?

[hydai]

Here is what I get on A10G. It will grow the first time to handle the model. And there will be small growth because the context changes.

[katopz]

Working now. Thanks! 👍

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.147.05   Driver Version: 546.01       CUDA Version: 12.3     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0 Off |                  Off |
|  0%   46C    P2    96W / 450W |   5760MiB / 24564MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A       579      G   /Xwayland                       N/A      |
|    0   N/A  N/A      9339      C   /wasmedge                       N/A      |
+-----------------------------------------------------------------------------+