Description
Hi. I'm trying to convert the 'kfkas/Llama-2-ko-7b-Chat' model I received from huggingface on Windows 11 into a gguf file.
So I tried to convert it to the command below.
C:\AI\llama.cpp>python convert-llama-hf-to-gguf.py .\models\kfkas_Llama-2-ko-7b-Chat 1
The conversion was successful, but when I tried to execute it, there was a problem that it couldn't be executed.
Can I ask you to review what should I do? Below are the results of the command execution.
I know you're busy, but please do it once.
C:\AI\llama.cpp>pip install gguf
Defaulting to user installation because normal site-packages is not writeable
Collecting gguf
Obtaining dependency information for gguf from https://files.pythonhosted.org/packages/bb/16/83a1cb95d9ec85bc316a1986481325c257a4a9a024e12bace801898db14e/gguf-0.2.1-py3-none-any.whl.metadata
Downloading gguf-0.2.1-py3-none-any.whl.metadata (1.9 kB)
Requirement already satisfied: numpy>=1.17 in c:\users\hwyoo\appdata\roaming\python\python310\site-packages (from gguf) (1.23.5)
Downloading gguf-0.2.1-py3-none-any.whl (8.1 kB)
Installing collected packages: gguf
Successfully installed gguf-0.2.1
C:\AI\llama.cpp>python convert-llama-hf-to-gguf.py .\models\kfkas_Llama-2-ko-7b-Chat 1
gguf: loading model kfkas_Llama-2-ko-7b-Chat
gguf: found 2 model parts
gguf: get model metadata
gguf: get tokenizer metadata
gguf: get special token ids
gguf: get tensor metadata
gguf: loading model part 'pytorch_model-00001-of-00002.bin'
token_embd.weight, n_dims = 2, torch.float16 --> float16
blk.0.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.0.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.0.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.0.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.0.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.0.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.0.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.0.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.0.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.1.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.1.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.1.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.1.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.1.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.1.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.1.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.1.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.1.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.2.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.2.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.2.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.2.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.2.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.2.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.2.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.2.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.2.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.3.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.3.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.3.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.3.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.3.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.3.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.3.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.3.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.3.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.4.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.4.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.4.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.4.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.4.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.4.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.4.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.4.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.4.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.5.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.5.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.5.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.5.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.5.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.5.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.5.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.5.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.5.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.6.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.6.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.6.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.6.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.6.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.6.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.6.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.6.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.6.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.7.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.7.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.7.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.7.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.7.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.7.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.7.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.7.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.7.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.8.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.8.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.8.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.8.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.8.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.8.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.8.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.8.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.8.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.9.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.9.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.9.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.9.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.9.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.9.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.9.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.9.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.9.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.10.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.10.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.10.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.10.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.10.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.10.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.10.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.10.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.10.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.11.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.11.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.11.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.11.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.11.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.11.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.11.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.11.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.11.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.12.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.12.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.12.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.12.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.12.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.12.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.12.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.12.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.12.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.13.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.13.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.13.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.13.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.13.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.13.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.13.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.13.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.13.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.14.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.14.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.14.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.14.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.14.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.14.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.14.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.14.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.14.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.15.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.15.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.15.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.15.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.15.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.15.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.15.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.15.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.15.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.16.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.16.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.16.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.16.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.16.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.16.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.16.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.16.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.16.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.17.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.17.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.17.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.17.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.17.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.17.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.17.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.17.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.17.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.18.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.18.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.18.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.18.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.18.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.18.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.18.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.18.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.18.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.19.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.19.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.19.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.19.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.19.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.19.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.19.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.19.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.19.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.20.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.20.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.20.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.20.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.20.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.20.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.20.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.20.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.20.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.21.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.21.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.21.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.21.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.21.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.21.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.21.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.21.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.21.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.22.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.22.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.22.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.22.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.22.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.22.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.22.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.22.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.22.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.23.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.23.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.23.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.23.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.23.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
gguf: loading model part 'pytorch_model-00002-of-00002.bin'
blk.23.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.23.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.23.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.23.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.24.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.24.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.24.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.24.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.24.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.24.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.24.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.24.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.24.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.25.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.25.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.25.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.25.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.25.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.25.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.25.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.25.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.25.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.26.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.26.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.26.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.26.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.26.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.26.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.26.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.26.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.26.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.27.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.27.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.27.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.27.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.27.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.27.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.27.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.27.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.27.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.28.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.28.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.28.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.28.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.28.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.28.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.28.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.28.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.28.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.29.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.29.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.29.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.29.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.29.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.29.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.29.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.29.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.29.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.30.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.30.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.30.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.30.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.30.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.30.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.30.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.30.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.30.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.31.attn_q.weight, n_dims = 2, torch.float16 --> float16
blk.31.attn_k.weight, n_dims = 2, torch.float16 --> float16
blk.31.attn_v.weight, n_dims = 2, torch.float16 --> float16
blk.31.attn_output.weight, n_dims = 2, torch.float16 --> float16
blk.31.ffn_gate.weight, n_dims = 2, torch.float16 --> float16
blk.31.ffn_down.weight, n_dims = 2, torch.float16 --> float16
blk.31.ffn_up.weight, n_dims = 2, torch.float16 --> float16
blk.31.attn_norm.weight, n_dims = 1, torch.float16 --> float32
blk.31.ffn_norm.weight, n_dims = 1, torch.float16 --> float32
output_norm.weight, n_dims = 1, torch.float16 --> float32
output.weight, n_dims = 2, torch.float16 --> float16
gguf: write header
gguf: write metadata
gguf: write tensors
gguf: model successfully exported to '.\models\kfkas_Llama-2-ko-7b-Chat/ggml-model-f16.gguf'
C:\AI\llama.cpp>main
main: build = 1100 (dd0dc36)
main: seed = 1693289567
llama_model_loader: loaded meta data with 15 key-value pairs and 291 tensors from models/7B/ggml-model-f16.gguf (version GGUF V1L����.llama_model_loader: - tensor 0: token_embd.weight f16 [ 4096, 46336, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 19: blk.2.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 28: blk.3.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 37: blk.4.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 46: blk.5.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 51: blk.5.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 52: blk.5.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 53: blk.5.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 54: blk.5.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 55: blk.6.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 56: blk.6.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 57: blk.6.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 58: blk.6.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 59: blk.6.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 60: blk.6.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 61: blk.6.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 62: blk.6.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 63: blk.6.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 64: blk.7.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 65: blk.7.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 66: blk.7.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 67: blk.7.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 68: blk.7.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 69: blk.7.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 70: blk.7.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 71: blk.7.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 72: blk.7.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 73: blk.8.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 74: blk.8.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 75: blk.8.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 76: blk.8.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 77: blk.8.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 78: blk.8.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 79: blk.8.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 80: blk.8.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 81: blk.8.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 82: blk.9.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 83: blk.9.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 84: blk.9.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 85: blk.9.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 86: blk.9.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 87: blk.9.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 88: blk.9.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 89: blk.9.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 90: blk.9.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 91: blk.10.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 92: blk.10.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 93: blk.10.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 94: blk.10.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 95: blk.10.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 96: blk.10.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 97: blk.10.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 98: blk.10.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 99: blk.10.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 100: blk.11.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 101: blk.11.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 102: blk.11.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 103: blk.11.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 104: blk.11.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 105: blk.11.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 106: blk.11.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 107: blk.11.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 108: blk.11.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 109: blk.12.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 110: blk.12.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 111: blk.12.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 112: blk.12.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 113: blk.12.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 114: blk.12.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 115: blk.12.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 116: blk.12.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 117: blk.12.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 119: blk.13.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 120: blk.13.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 121: blk.13.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 122: blk.13.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 123: blk.13.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 124: blk.13.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 125: blk.13.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 126: blk.13.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 128: blk.14.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 129: blk.14.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 130: blk.14.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 131: blk.14.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 132: blk.14.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 133: blk.14.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 134: blk.14.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 135: blk.14.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 137: blk.15.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 138: blk.15.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 139: blk.15.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 140: blk.15.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 141: blk.15.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 142: blk.15.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 143: blk.15.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 144: blk.15.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 146: blk.16.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 147: blk.16.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 148: blk.16.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 149: blk.16.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 150: blk.16.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 151: blk.16.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 152: blk.16.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 153: blk.16.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 155: blk.17.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 156: blk.17.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 157: blk.17.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 158: blk.17.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 159: blk.17.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 160: blk.17.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 161: blk.17.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 162: blk.17.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 164: blk.18.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 165: blk.18.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 166: blk.18.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 167: blk.18.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 168: blk.18.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 169: blk.18.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 170: blk.18.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 171: blk.18.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 173: blk.19.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 174: blk.19.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 175: blk.19.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 176: blk.19.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 177: blk.19.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 178: blk.19.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 179: blk.19.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 180: blk.19.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 181: blk.20.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 182: blk.20.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 183: blk.20.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 184: blk.20.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 185: blk.20.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 186: blk.20.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 190: blk.21.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 199: blk.22.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 204: blk.22.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 205: blk.22.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 206: blk.22.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 207: blk.22.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 208: blk.23.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 209: blk.23.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 210: blk.23.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 211: blk.23.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 212: blk.23.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 213: blk.23.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 214: blk.23.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 215: blk.23.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 216: blk.23.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 217: blk.24.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 218: blk.24.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 219: blk.24.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 220: blk.24.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 221: blk.24.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 222: blk.24.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 223: blk.24.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 224:
341A
blk.24.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 225: blk.24.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 226: blk.25.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 227: blk.25.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 228: blk.25.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 229: blk.25.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 230: blk.25.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 231: blk.25.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 232: blk.25.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 233: blk.25.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 234: blk.25.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 235: blk.26.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 236: blk.26.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 237: blk.26.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 238: blk.26.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 239: blk.26.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 240: blk.26.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 241: blk.26.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 242: blk.26.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 243: blk.26.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 244: blk.27.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 245: blk.27.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 246: blk.27.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 247: blk.27.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 248: blk.27.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 249: blk.27.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 250: blk.27.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 251: blk.27.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 252: blk.27.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 253: blk.28.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 254: blk.28.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 255: blk.28.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 256: blk.28.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 257: blk.28.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 258: blk.28.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 259: blk.28.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 260: blk.28.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 261: blk.28.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 262: blk.29.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 263: blk.29.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 264: blk.29.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 265: blk.29.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 266: blk.29.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 267: blk.29.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 268: blk.29.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 269: blk.29.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 270: blk.29.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 271: blk.30.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 272: blk.30.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 273: blk.30.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 274: blk.30.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 275: blk.30.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 276: blk.30.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 277: blk.30.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 278: blk.30.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 279: blk.30.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 280: blk.31.attn_q.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 281: blk.31.attn_k.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 282: blk.31.attn_v.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 283: blk.31.attn_output.weight f16 [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 284: blk.31.ffn_gate.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 285: blk.31.ffn_down.weight f16 [ 11008, 4096, 1, 1 ]
llama_model_loader: - tensor 286: blk.31.ffn_up.weight f16 [ 4096, 11008, 1, 1 ]
llama_model_loader: - tensor 287: blk.31.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 288: blk.31.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 289: output_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 290: output.weight f16 [ 4096, 46336, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str
llama_model_loader: - kv 1: general.name str
llama_model_loader: - kv 2: general.source.hugginface.repository str
llama_model_loader: - kv 3: llama.tensor_data_layout str
llama_model_loader: - kv 4: llama.context_length u32
llama_model_loader: - kv 5: llama.embedding_length u32
llama_model_loader: - kv 6: llama.block_count u32
llama_model_loader: - kv 7: llama.feed_forward_length u32
llama_model_loader: - kv 8: llama.rope.dimension_count u32
llama_model_loader: - kv 9: llama.attention.head_count u32
llama_model_loader: - kv 10: llama.attention.head_count_kv u32
llama_model_loader: - kv 11: llama.attention.layer_norm_rms_epsilon f32
llama_model_loader: - kv 12: tokenizer.ggml.bos_token_id u32
llama_model_loader: - kv 13: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 14: tokenizer.ggml.unknown_token_id u32
llama_model_loader: - type f32: 65 tensors
llama_model_loader: - type f16: 226 tensors
error loading model: key not found in model: tokenizer.ggml.tokens
llama_load_model_from_file: failed to load model
llama_init_from_gpt_params: error: failed to load model 'models/7B/ggml-model-f16.gguf'
main: error: unable to load model