Local LLM ISSUE GGML_ASSERT 
Labels: name: area: embeddings, name: auto:bug, name: area: models

### Issue you'd like to raise.

Please help!
Error:
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama-cpp-python_686671b6d7b8440a98e23acb5bc6a41a\vendor\llama.cpp\ggml.c:15149: cgraph->nodes[cgraph->n_nodes - 1] == tensor
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama-cpp-python_686671b6d7b8440a98e23acb5bc6a41a\vendor\llama.cpp\ggml.c:4326: ggml_nelements(a) == (ne0ne1ne2*ne3)

Repeated trials yield same results.
Local llm: TheBloke/Llama-2-7B-Chat-GGUF (llama-2-7b-chat.Q6_K.gguf)
Embedding: BAAI/bge-large-en-v1.5
```
import os
os.environ['OPENAI_API_KEY'] = 'dummy_key'

# import paperscraper
from paperqa import Docs
from langchain.llms.llamacpp import LlamaCpp
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
from langchain.callbacks.manager import CallbackManager
from langchain.embeddings import LlamaCppEmbeddings
from langchain.embeddings import HuggingFaceBgeEmbeddings
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler




# Make sure the model path is correct for your system!
llm = LlamaCpp(
    model_path="C:/paper-qa/models/llama-2-7b-chat.Q6_K.gguf", callbacks=[StreamingStdOutCallbackHandler()],

)

model_name = "BAAI/bge-large-en-v1.5"
model_kwargs = {'device': 'cpu'}
encode_kwargs = {'normalize_embeddings': True}
embeddings = HuggingFaceBgeEmbeddings(
    model_name=model_name,
    # model_kwargs=model_kwargs,
    # encode_kwargs=encode_kwargs,
    cache_folder="C:\paper-qa\models"
)
# embeddings = LlamaCppEmbeddings(
#     model_path="C:/paper-qa/models/bge-large-en-v1_5_pytorch_model.bin"
#     )


# model_name = "BAAI/bge-large-en-v1.5"
# model_kwargs = {'device': 'cpu'}
# encode_kwargs = {'normalize_embeddings': False}
# hf = HuggingFaceEmbeddings(
#     model_name=model_name,
#     model_kwargs=model_kwargs,
#     encode_kwargs=encode_kwargs
# )

docs = Docs(llm=llm, embeddings=embeddings)

# keyword_search = 'bispecific antibody manufacture'
# papers = paperscraper.search_papers(keyword_search, limit=2)
# for path,data in papers.items():
#     try:
        # docs.add(path,chunk_chars=500)
    # except ValueError as e:
    #     print('Could not read', path, e)
path = "C:\\paper-qa\\Source\\The Encyclopedia of the Cold War_90-95.pdf"
print("Before adding document")
docs.add(path,chunk_chars=500)
print("Document added")
answer = docs.query("Summarize 2 interesting events of the cold war from the book.")
print("Queried.")
print(answer)
```
whole output
```
llama_model_loader: loaded meta data with 19 key-value pairs and 291 tensors from C:/paper-qa/models/llama-2-7b-chat.Q6_K.gguf (version GGUF V2)
llama_model_loader: - tensor    0:                token_embd.weight q6_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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor    4:              blk.0.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor    7:         blk.0.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor    8:              blk.0.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor    9:              blk.0.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   13:              blk.1.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   16:         blk.1.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   17:              blk.1.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   18:              blk.1.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   21:           blk.10.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   22:             blk.10.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   25:        blk.10.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   26:             blk.10.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   27:             blk.10.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   30:           blk.11.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   31:             blk.11.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   34:        blk.11.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   35:             blk.11.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   36:             blk.11.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   39:           blk.12.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   40:             blk.12.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   43:        blk.12.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   44:             blk.12.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   45:             blk.12.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   48:           blk.13.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   49:             blk.13.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   52:        blk.13.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   53:             blk.13.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   54:             blk.13.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   57:           blk.14.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   58:             blk.14.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   61:        blk.14.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   62:             blk.14.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   63:             blk.14.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   66:           blk.15.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   67:             blk.15.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   70:        blk.15.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   71:             blk.15.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   72:             blk.15.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   75:           blk.16.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   76:             blk.16.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   79:        blk.16.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   80:             blk.16.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   81:             blk.16.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   84:           blk.17.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   85:             blk.17.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   88:        blk.17.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   89:             blk.17.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   90:             blk.17.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor   93:           blk.18.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor   94:             blk.18.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   97:        blk.18.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   98:             blk.18.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor   99:             blk.18.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  102:           blk.19.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  103:             blk.19.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  106:        blk.19.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  107:             blk.19.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  108:             blk.19.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  111:            blk.2.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  112:              blk.2.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  115:         blk.2.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  116:              blk.2.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  117:              blk.2.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  120:           blk.20.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  121:             blk.20.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  124:        blk.20.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  125:             blk.20.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  126:             blk.20.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  129:           blk.21.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  130:             blk.21.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  133:        blk.21.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  134:             blk.21.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  135:             blk.21.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  136:          blk.22.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  137:           blk.22.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  138:           blk.22.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  139:             blk.22.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  140:           blk.22.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  141:             blk.22.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  142:        blk.22.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  143:             blk.22.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  144:             blk.22.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  145:          blk.23.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  146:           blk.23.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  147:           blk.23.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  148:             blk.23.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  149:           blk.23.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  150:             blk.23.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  151:        blk.23.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  152:             blk.23.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  153:             blk.23.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  154:           blk.3.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  155:            blk.3.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  156:            blk.3.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  157:              blk.3.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  158:            blk.3.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  159:              blk.3.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  160:         blk.3.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  161:              blk.3.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  162:              blk.3.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  163:           blk.4.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  164:            blk.4.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  165:            blk.4.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  166:              blk.4.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  167:            blk.4.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  168:              blk.4.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  169:         blk.4.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  170:              blk.4.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  171:              blk.4.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  172:           blk.5.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  173:            blk.5.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  174:            blk.5.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  175:              blk.5.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  176:            blk.5.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  177:              blk.5.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  178:         blk.5.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  179:              blk.5.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  180:              blk.5.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  181:           blk.6.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  182:            blk.6.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  183:            blk.6.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  184:              blk.6.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  185:            blk.6.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  186:              blk.6.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  187:         blk.6.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  188:              blk.6.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  189:              blk.6.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  190:           blk.7.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  191:            blk.7.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  192:            blk.7.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  193:              blk.7.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  194:            blk.7.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  195:              blk.7.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  196:         blk.7.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  197:              blk.7.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  198:              blk.7.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  199:           blk.8.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  200:            blk.8.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  201:            blk.8.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  202:              blk.8.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  203:            blk.8.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  204:              blk.8.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  205:         blk.8.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  206:              blk.8.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  207:              blk.8.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  208:           blk.9.attn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  209:            blk.9.ffn_down.weight q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  210:            blk.9.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  211:              blk.9.ffn_up.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  212:            blk.9.ffn_norm.weight f32      [  4096,     1,  
   1,     1 ]
llama_model_loader: - tensor  213:              blk.9.attn_k.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  214:         blk.9.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  215:              blk.9.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  216:              blk.9.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  217:                    output.weight q6_K     [  4096, 32000,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  220:           blk.24.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  221:             blk.24.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  224:        blk.24.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  225:             blk.24.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  226:             blk.24.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  229:           blk.25.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  230:             blk.25.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  233:        blk.25.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  234:             blk.25.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  235:             blk.25.attn_v.weight q6_K     [  4096,  4096,  
   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 q6_K     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  238:           blk.26.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  239:             blk.26.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  242:        blk.26.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  243:             blk.26.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  244:             blk.26.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  247:           blk.27.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  248:             blk.27.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  251:        blk.27.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  252:             blk.27.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  253:             blk.27.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  256:           blk.28.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  257:             blk.28.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  260:        blk.28.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  261:             blk.28.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  262:             blk.28.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  265:           blk.29.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  266:             blk.29.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  269:        blk.29.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  270:             blk.29.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  271:             blk.29.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  274:           blk.30.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  275:             blk.30.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  278:        blk.30.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  279:             blk.30.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  280:             blk.30.attn_v.weight q6_K     [  4096,  4096,  
   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     [ 11008,  4096,  
   1,     1 ]
llama_model_loader: - tensor  283:           blk.31.ffn_gate.weight q6_K     [  4096, 11008,  
   1,     1 ]
llama_model_loader: - tensor  284:             blk.31.ffn_up.weight q6_K     [  4096, 11008,  
   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 q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  287:        blk.31.attn_output.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  288:             blk.31.attn_q.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  289:             blk.31.attn_v.weight q6_K     [  4096,  4096,  
   1,     1 ]
llama_model_loader: - tensor  290:               output_norm.weight f32      [  4096,     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              = 4096
llama_model_loader: - kv   4:                          llama.block_count u32              = 32llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 11008
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 32llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 32llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  10:                          general.file_type u32              = 18llama_model_loader: - kv  11:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr[str,32000]   = ["<unk>", "
", "
", "<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:   65 tensors
llama_model_loader: - type q6_K:  226 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           = 4096
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 32
llm_load_print_meta: n_layer          = 32
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-06
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             = 11008
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       = 7B
llm_load_print_meta: model ftype      = mostly Q6_K
llm_load_print_meta: model params     = 6.74 B
llm_load_print_meta: model size       = 5.15 GiB (6.56 BPW)
llm_load_print_meta: general.name   = LLaMA v2
llm_load_print_meta: BOS token = 1 '
'
llm_load_print_meta: EOS token = 2 '
'
llm_load_print_meta: UNK token = 0 '<unk>'
llm_load_print_meta: LF token  = 13 '<0x0A>'
llm_load_tensors: ggml ctx size =    0.11 MiB
llm_load_tensors: mem required  = 5272.45 MiB
....................................................................................................
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  =  256.00 MiB
llama_build_graph: non-view tensors processed: 740/740
llama_new_context_with_model: compute buffer total size = 4.16 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 = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 
|
Before adding document

Abdullah I of Jordan. "Soldier, Diplomat, and King of Jordan." The Oxford Encyclopedia of the 
Modern World, vol. 1, Oxford University Press, 2023, pp. 56-57.
llama_print_timings:        load time =    7311.60 ms
llama_print_timings:      sample time =      18.23 ms /    55 runs   (    0.33 ms per token,  
3016.67 tokens per second)
llama_print_timings: prompt eval time =   53923.10 ms /   190 tokens (  283.81 ms per token,  
   3.52 tokens per second)
llama_print_timings:        eval time =   19552.25 ms /    54 runs   (  362.08 ms per token,  
   2.76 tokens per second)
llama_print_timings:       total time =   73785.66 ms
Document added
Llama.generate: prefix-match hit
Llama.generate: prefix-match hit
Llama.generate: prefix-match hit
Llama.generate: prefix-match hit
Llama.generate: prefix-match hit
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama-cpp-python_686671b6d7b8440a98e23acb5bc6a41a\vendor\llama.cpp\ggml.c:15149: cgraph->nodes[cgraph->n_nodes - 1] == tensor
GGML_ASSERT: C:\Users\user\AppData\Local\Temp\pip-install-l0_yao9s\llama-cpp-python_686671b6d7b8440a98e23acb5bc6a41a\vendor\llama.cpp\ggml.c:4326: ggml_nelements(a) == (ne0*ne1*ne2*ne3)  
PS C:\paper-qa> 
```

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