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oobabooga / text-generation-webui

A Gradio web UI for Large Language Models.
GNU Affero General Public License v3.0
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The CPU usage is very high, but the GPU is almost not occupied? #4907

Closed presIey closed 9 months ago

presIey commented 10 months ago

Describe the bug

When I asked questions and generated responses, I found that my CPU usage was very high, but my GPU usage was almost non-existent.

Is there an existing issue for this?

Reproduction

Just start the start_windows.bat script and load any model. I am using the llama-2-13b-chat.Q8_0.gguf model here.

Screenshot

QQ图片20231213144012 QQ图片20231213144006

Logs

2023-12-13 14:24:04 WARNING:
You are potentially exposing the web UI to the entire internet without any access password.
You can create one with the "--gradio-auth" flag like this:

--gradio-auth username:password

Make sure to replace username:password with your own.
bin D:\meta_llama\text-generation-webui-main\installer_files\env\Lib\site-packages\bitsandbytes\libbitsandbytes_cuda121.dll
2023-12-13 14:24:06 INFO:Loading the extension "openai"...
2023-12-13 14:24:06 INFO:OpenAI-compatible API URL:

http://0.0.0.0:5000

2023-12-13 14:24:06 INFO:Loading the extension "gallery"...
INFO:     Started server process [69620]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:5000 (Press CTRL+C to quit)
Running on local URL:  http://0.0.0.0:7860

To create a public link, set `share=True` in `launch()`.
D:\meta_llama\text-generation-webui-main\installer_files\env\Lib\site-packages\gradio\components\dropdown.py:231: UserWarning: The value passed into gr.Dropdown() is not in the list of choices. Please update the list of choices to include: llama or set allow_custom_value=True.
  warnings.warn(
2023-12-13 14:24:53 INFO:Loading llama-2-13b-chat.Q6_K.gguf...
2023-12-13 14:24:53 INFO:llama.cpp weights detected: models\llama-2-13b-chat.Q6_K.gguf
ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   yes
ggml_init_cublas: CUDA_USE_TENSOR_CORES: no
ggml_init_cublas: found 1 CUDA devices:
  Device 0: NVIDIA GeForce RTX 3080, compute capability 8.6
llama_model_loader: loaded meta data with 19 key-value pairs and 363 tensors from models\llama-2-13b-chat.Q6_K.gguf (version GGUF V2)
llama_model_loader: - tensor    0:                token_embd.weight q6_K     [  5120, 32000,     1,     1 ]
llama_model_loader: - tensor    1:           blk.0.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor    2:            blk.0.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor    4:              blk.0.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor    5:            blk.0.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor    6:              blk.0.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    7:         blk.0.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    8:              blk.0.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor    9:              blk.0.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   10:           blk.1.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   11:            blk.1.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   13:              blk.1.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   14:            blk.1.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   15:              blk.1.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   16:         blk.1.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   17:              blk.1.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   18:              blk.1.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   19:          blk.10.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   20:           blk.10.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   21:           blk.10.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   22:             blk.10.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   23:           blk.10.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   24:             blk.10.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   25:        blk.10.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   26:             blk.10.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   27:             blk.10.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   28:          blk.11.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   29:           blk.11.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   30:           blk.11.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   31:             blk.11.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   32:           blk.11.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   33:             blk.11.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   34:        blk.11.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   35:             blk.11.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   36:             blk.11.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   37:          blk.12.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   38:           blk.12.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   39:           blk.12.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   40:             blk.12.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   41:           blk.12.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   42:             blk.12.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   43:        blk.12.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   44:             blk.12.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   45:             blk.12.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   46:          blk.13.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   47:           blk.13.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   48:           blk.13.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   49:             blk.13.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   50:           blk.13.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   51:             blk.13.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   52:        blk.13.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   53:             blk.13.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   54:             blk.13.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   55:          blk.14.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   56:           blk.14.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   57:           blk.14.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   58:             blk.14.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   59:           blk.14.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   60:             blk.14.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   61:        blk.14.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   62:             blk.14.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   63:             blk.14.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   64:             blk.15.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   65:             blk.15.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   66:           blk.2.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   67:            blk.2.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   68:            blk.2.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   69:              blk.2.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   70:            blk.2.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   71:              blk.2.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   72:         blk.2.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   73:              blk.2.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   74:              blk.2.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   75:           blk.3.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   76:            blk.3.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   77:            blk.3.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   78:              blk.3.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   79:            blk.3.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   80:              blk.3.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   81:         blk.3.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   82:              blk.3.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   83:              blk.3.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   84:           blk.4.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   85:            blk.4.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   86:            blk.4.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   87:              blk.4.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   88:            blk.4.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   89:              blk.4.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   90:         blk.4.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   91:              blk.4.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   92:              blk.4.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   93:           blk.5.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   94:            blk.5.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor   95:            blk.5.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   96:              blk.5.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor   97:            blk.5.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor   98:              blk.5.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor   99:         blk.5.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  100:              blk.5.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  101:              blk.5.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  102:           blk.6.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  103:            blk.6.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  104:            blk.6.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  105:              blk.6.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  106:            blk.6.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  107:              blk.6.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  108:         blk.6.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  109:              blk.6.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  110:              blk.6.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  111:           blk.7.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  112:            blk.7.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  113:            blk.7.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  114:              blk.7.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  115:            blk.7.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  116:              blk.7.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  117:         blk.7.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  118:              blk.7.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  119:              blk.7.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  120:           blk.8.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  121:            blk.8.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  122:            blk.8.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  123:              blk.8.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  124:            blk.8.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  125:              blk.8.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  126:         blk.8.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  127:              blk.8.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  128:              blk.8.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  129:           blk.9.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  130:            blk.9.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  131:            blk.9.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  132:              blk.9.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  133:            blk.9.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  134:              blk.9.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  135:         blk.9.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  136:              blk.9.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  137:              blk.9.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  138:          blk.15.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  139:           blk.15.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  140:           blk.15.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  142:           blk.15.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  143:        blk.15.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  144:             blk.15.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  145:          blk.16.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  146:           blk.16.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  147:           blk.16.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  148:             blk.16.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  149:           blk.16.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  150:             blk.16.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  151:        blk.16.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  152:             blk.16.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  153:             blk.16.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  154:          blk.17.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  155:           blk.17.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  156:           blk.17.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  157:             blk.17.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  158:           blk.17.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  159:             blk.17.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  160:        blk.17.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  161:             blk.17.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  162:             blk.17.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  163:          blk.18.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  164:           blk.18.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  165:           blk.18.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  166:             blk.18.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  167:           blk.18.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  168:             blk.18.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  169:        blk.18.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  170:             blk.18.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  171:             blk.18.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  172:          blk.19.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  173:           blk.19.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  174:           blk.19.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  175:             blk.19.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  176:           blk.19.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  177:             blk.19.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  178:        blk.19.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  179:             blk.19.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  180:             blk.19.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  181:          blk.20.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  182:           blk.20.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  183:           blk.20.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  184:             blk.20.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  185:           blk.20.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  186:             blk.20.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  187:        blk.20.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  188:             blk.20.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  189:             blk.20.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  190:          blk.21.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  191:           blk.21.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  192:           blk.21.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  193:             blk.21.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  194:           blk.21.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  195:             blk.21.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  196:        blk.21.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  197:             blk.21.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  198:             blk.21.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  199:          blk.22.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  200:           blk.22.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  201:           blk.22.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  202:             blk.22.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  203:           blk.22.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  204:             blk.22.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  205:        blk.22.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  206:             blk.22.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  207:             blk.22.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  208:          blk.23.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  209:           blk.23.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  210:           blk.23.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  211:             blk.23.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  212:           blk.23.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  213:             blk.23.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  214:        blk.23.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  215:             blk.23.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  216:             blk.23.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  217:          blk.24.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  218:           blk.24.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  219:           blk.24.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  220:             blk.24.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  221:           blk.24.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  222:             blk.24.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  223:        blk.24.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  224:             blk.24.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  225:             blk.24.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  226:          blk.25.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  227:           blk.25.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  228:           blk.25.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  229:             blk.25.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  230:           blk.25.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  231:             blk.25.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  232:        blk.25.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  233:             blk.25.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  234:             blk.25.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  235:          blk.26.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  236:           blk.26.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  237:           blk.26.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  238:             blk.26.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  239:           blk.26.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  240:             blk.26.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  241:        blk.26.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  242:             blk.26.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  243:             blk.26.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  244:          blk.27.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  245:           blk.27.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  246:           blk.27.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  247:             blk.27.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  248:           blk.27.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  249:             blk.27.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  250:        blk.27.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  251:             blk.27.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  252:             blk.27.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  253:          blk.28.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  254:           blk.28.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  255:           blk.28.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  256:             blk.28.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  257:           blk.28.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  258:             blk.28.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  259:        blk.28.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  260:             blk.28.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  261:             blk.28.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  262:          blk.29.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  263:           blk.29.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  264:           blk.29.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  265:             blk.29.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  266:           blk.29.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  267:             blk.29.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  268:        blk.29.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  269:             blk.29.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  270:             blk.29.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  271:           blk.30.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  272:             blk.30.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  273:             blk.30.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  274:        blk.30.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  275:             blk.30.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  276:             blk.30.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  277:                    output.weight q6_K     [  5120, 32000,     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_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  280:           blk.30.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  281:          blk.31.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  282:           blk.31.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  283:           blk.31.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  284:             blk.31.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  285:           blk.31.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  286:             blk.31.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  287:        blk.31.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  288:             blk.31.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  289:             blk.31.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  290:          blk.32.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  291:           blk.32.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  292:           blk.32.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  293:             blk.32.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  294:           blk.32.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  295:             blk.32.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  296:        blk.32.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  297:             blk.32.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  298:             blk.32.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  299:          blk.33.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  300:           blk.33.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  301:           blk.33.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  302:             blk.33.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  303:           blk.33.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  304:             blk.33.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  305:        blk.33.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  306:             blk.33.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  307:             blk.33.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  308:          blk.34.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  309:           blk.34.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  310:           blk.34.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  311:             blk.34.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  312:           blk.34.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  313:             blk.34.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  314:        blk.34.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  315:             blk.34.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  316:             blk.34.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  317:          blk.35.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  318:           blk.35.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  319:           blk.35.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  320:             blk.35.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  321:           blk.35.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  322:             blk.35.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  323:        blk.35.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  324:             blk.35.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  325:             blk.35.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  326:          blk.36.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  327:           blk.36.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  328:           blk.36.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  329:             blk.36.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  330:           blk.36.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  331:             blk.36.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  332:        blk.36.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  333:             blk.36.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  334:             blk.36.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  335:          blk.37.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  336:           blk.37.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  337:           blk.37.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  338:             blk.37.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  339:           blk.37.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  340:             blk.37.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  341:        blk.37.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  342:             blk.37.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  343:             blk.37.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  344:          blk.38.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  345:           blk.38.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  346:           blk.38.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  347:             blk.38.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  348:           blk.38.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  349:             blk.38.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  350:        blk.38.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  351:             blk.38.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  352:             blk.38.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  353:          blk.39.attn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  354:           blk.39.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]
llama_model_loader: - tensor  355:           blk.39.ffn_gate.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  356:             blk.39.ffn_up.weight q6_K     [  5120, 13824,     1,     1 ]
llama_model_loader: - tensor  357:           blk.39.ffn_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - tensor  358:             blk.39.attn_k.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  359:        blk.39.attn_output.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  360:             blk.39.attn_q.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  361:             blk.39.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]
llama_model_loader: - tensor  362:               output_norm.weight f32      [  5120,     1,     1,     1 ]
llama_model_loader: - kv   0:                       general.architecture str              = llama
llama_model_loader: - kv   1:                               general.name str              = LLaMA v2
llama_model_loader: - kv   2:                       llama.context_length u32              = 4096
llama_model_loader: - kv   3:                     llama.embedding_length u32              = 5120
llama_model_loader: - kv   4:                          llama.block_count u32              = 40
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 13824
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 40
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 40
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  10:                          general.file_type u32              = 18
llama_model_loader: - kv  11:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr[str,32000]   = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv  13:                      tokenizer.ggml.scores arr[f32,32000]   = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  14:                  tokenizer.ggml.token_type arr[i32,32000]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv  15:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  16:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  17:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  18:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:   81 tensors
llama_model_loader: - type q6_K:  282 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format           = GGUF V2
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      = 4096
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: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 4096
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: model type       = 13B
llm_load_print_meta: model ftype      = mostly Q6_K
llm_load_print_meta: model params     = 13.02 B
llm_load_print_meta: model size       = 9.95 GiB (6.56 BPW)
llm_load_print_meta: general.name   = LLaMA 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: LF token  = 13 '<0x0A>'
llm_load_tensors: ggml ctx size =    0.13 MiB
llm_load_tensors: using CUDA for GPU acceleration
llm_load_tensors: mem required  = 10183.84 MiB
llm_load_tensors: offloading 0 repeating layers to GPU
llm_load_tensors: offloaded 0/43 layers to GPU
llm_load_tensors: VRAM used: 0.00 MiB
....................................................................................................
llama_new_context_with_model: n_ctx      = 4096
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  = 3200.00 MiB
llama_build_graph: non-view tensors processed: 924/924
llama_new_context_with_model: compute buffer total size = 361.07 MiB
llama_new_context_with_model: VRAM scratch buffer: 358.00 MiB
llama_new_context_with_model: total VRAM used: 358.00 MiB (model: 0.00 MiB, context: 358.00 MiB)
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 = 0 | VSX = 0 |
2023-12-13 14:24:58 INFO:LOADER: llama.cpp
2023-12-13 14:24:58 INFO:TRUNCATION LENGTH: 4096
2023-12-13 14:24:58 INFO:INSTRUCTION TEMPLATE: Llama-v2
2023-12-13 14:24:58 INFO:Loaded the model in 4.69 seconds.
Output generated in 25.86 seconds (2.51 tokens/s, 65 tokens, context 90, seed 2032463143)
Llama.generate: prefix-match hit
Output generated in 23.68 seconds (3.17 tokens/s, 75 tokens, context 169, seed 554589379)
Llama.generate: prefix-match hit
Output generated in 44.53 seconds (3.19 tokens/s, 142 tokens, context 283, seed 2042852188)
2023-12-13 14:35:50 INFO:Deleted logs\chat\Assistant\20231213-14-18-58.json.
Llama.generate: prefix-match hit
Output generated in 15.41 seconds (3.18 tokens/s, 49 tokens, context 70, seed 1185091335)
Llama.generate: prefix-match hit
Output generated in 14.90 seconds (3.15 tokens/s, 47 tokens, context 127, seed 1417337695)
Llama.generate: prefix-match hit
Output generated in 17.95 seconds (3.18 tokens/s, 57 tokens, context 182, seed 722139975)
Llama.generate: prefix-match hit
Output generated in 25.68 seconds (3.15 tokens/s, 81 tokens, context 247, seed 1062403489)

System Info

Windows 11 Pro for Workstations
AMD Ryzen 7 5800X3D 8-Core Processor 
RTX3080 12G driver546.29
32G RAM
NVME SSD
infrahate1 commented 10 months ago

When loading your model with llama.cpp you should set the n-gpu-layers parameter to 128(max). This way the model gets loaded into your GPU memmory instead of the CPU shared pool.

I think you have it set to 0 when loading the model hence the below in your output. llm_load_tensors: offloading 0 repeating layers to GPU llm_load_tensors: offloaded 0/43 layers to GPU llm_load_tensors: VRAM used: 0.00 MiB .....................................................

Below is how it should look like. I am loading the mistral-7b-gguf so my stats are a bit diffrent 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 MiB

github-actions[bot] commented 9 months ago

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