使用 llama.cpp 将 HuggingFace 模型转为 GGUF 格式

llama.cpp Ollama AI About 97,265 words

clone git repo

git clone https://github.com/ggerganov/llama.cpp.git

安装 Python 依赖

进入到llama.cpp文件夹

pip install -r requirements.txt

convert_hf_to_gguf

执行convert_hf_to_gguf.py转换脚本,参数是模型的文件夹。

python llama.cpp/convert_hf_to_gguf.py PULSE-7bv5

输出

❯ python llama.cpp/convert_hf_to_gguf.py PULSE-7bv5
INFO:hf-to-gguf:Loading model: PULSE-7bv5
INFO:gguf.gguf_writer:gguf: This GGUF file is for Little Endian only
INFO:hf-to-gguf:Exporting model...
INFO:hf-to-gguf:gguf: loading model weight map from 'pytorch_model.bin.index.json'
INFO:hf-to-gguf:gguf: loading model part 'pytorch_model-00001-of-00002.bin'
INFO:hf-to-gguf:token_embd.weight,         torch.bfloat16 --> F16, shape = {4096, 250880}
INFO:hf-to-gguf:token_embd_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:token_embd_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.0.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.0.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.0.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.0.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.0.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.0.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.0.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.1.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.1.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.1.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.1.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.1.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.1.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.1.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.2.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.2.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.2.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.2.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.2.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.2.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.2.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.3.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.3.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.3.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.3.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.3.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.3.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.3.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.4.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.4.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.4.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.4.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.4.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.4.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.4.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.5.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.5.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.5.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.5.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.5.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.5.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.5.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.6.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.6.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.6.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.6.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.6.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.6.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.6.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.7.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.7.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.7.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.7.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.7.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.7.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.7.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.8.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.8.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.8.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.8.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.8.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.8.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.8.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.attn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.attn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.9.attn_qkv.weight,     torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.9.attn_qkv.bias,       torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.9.attn_output.weight,  torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.9.attn_output.bias,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.ffn_norm.weight,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.ffn_norm.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.ffn_up.weight,       torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.9.ffn_up.bias,         torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.9.ffn_down.weight,     torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.9.ffn_down.bias,       torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.10.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.10.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.10.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.10.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.10.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.10.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.10.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.11.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.11.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.11.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.11.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.11.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.11.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.11.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.12.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.12.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.12.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.12.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.12.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.12.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.12.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.13.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.13.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.13.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.13.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.13.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.13.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.13.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.14.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.14.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.14.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.14.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.14.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.14.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.14.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.15.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.15.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.15.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.15.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.15.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.15.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.15.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.16.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.16.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.16.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.16.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.16.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.16.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.16.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.17.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.17.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.17.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.17.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.17.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.17.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.17.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.18.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.18.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.18.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.18.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.18.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.18.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.18.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.19.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.19.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.19.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.19.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.19.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:gguf: loading model part 'pytorch_model-00002-of-00002.bin'
INFO:hf-to-gguf:blk.19.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.19.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.20.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.20.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.20.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.20.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.20.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.20.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.20.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.21.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.21.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.21.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.21.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.21.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.21.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.21.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.22.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.22.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.22.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.22.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.22.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.22.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.22.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.23.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.23.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.23.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.23.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.23.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.23.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.23.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.24.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.24.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.24.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.24.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.24.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.24.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.24.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.25.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.25.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.25.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.25.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.25.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.25.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.25.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.26.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.26.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.26.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.26.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.26.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.26.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.26.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.27.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.27.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.27.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.27.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.27.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.27.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.27.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.28.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.28.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.28.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.28.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.28.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.28.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.28.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.attn_norm.weight,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.attn_norm.bias,     torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:re-format attention.linear_qkv.weight
INFO:hf-to-gguf:blk.29.attn_qkv.weight,    torch.bfloat16 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:re-format attention.linear_qkv.bias
INFO:hf-to-gguf:blk.29.attn_qkv.bias,      torch.bfloat16 --> F32, shape = {12288}
INFO:hf-to-gguf:blk.29.attn_output.weight, torch.bfloat16 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.29.attn_output.bias,   torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.ffn_norm.weight,    torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.ffn_norm.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.ffn_up.weight,      torch.bfloat16 --> F16, shape = {4096, 16384}
INFO:hf-to-gguf:blk.29.ffn_up.bias,        torch.bfloat16 --> F32, shape = {16384}
INFO:hf-to-gguf:blk.29.ffn_down.weight,    torch.bfloat16 --> F16, shape = {16384, 4096}
INFO:hf-to-gguf:blk.29.ffn_down.bias,      torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:output_norm.weight,        torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:output_norm.bias,          torch.bfloat16 --> F32, shape = {4096}
INFO:hf-to-gguf:output.weight,             torch.bfloat16 --> F16, shape = {4096, 250880}
INFO:hf-to-gguf:Set meta model
INFO:hf-to-gguf:Set model parameters
INFO:hf-to-gguf:Set model tokenizer
INFO:gguf.vocab:Adding 250434 merge(s).
INFO:gguf.vocab:Setting special token type bos to 1
INFO:gguf.vocab:Setting special token type eos to 2
INFO:gguf.vocab:Setting special token type unk to 0
INFO:gguf.vocab:Setting special token type pad to 3
INFO:hf-to-gguf:Set model quantization version
INFO:gguf.gguf_writer:Writing the following files:
INFO:gguf.gguf_writer:PULSE-7bv5/bloomz-7.1B-mt-F16.gguf: n_tensors = 366, total_size = 16.2G
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
    - Avoid using `tokenizers` before the fork if possible
    - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Writing: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16.2G/16.2G [00:45<00:00, 354Mbyte/s]
INFO:hf-to-gguf:Model successfully exported to PULSE-7bv5/bloomz-7.1B-mt-F16.gguf

量化分析

分析转换后的gguf

llama-quantize-stats -m ~/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf

输出

❯ llama-quantize-stats -m ~/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf
main: build = 3896 (63747437)
main: built with Apple clang version 15.0.0 (clang-1500.3.9.4) for arm64-apple-darwin23.6.0
Loading model
llama_model_loader: loaded meta data with 28 key-value pairs and 366 tensors from /Users/fendoudebb/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv   0:                       general.architecture str              = bloom
llama_model_loader: - kv   1:                               general.type str              = model
llama_model_loader: - kv   2:                               general.name str              = Bloomz 7b1 Mt
llama_model_loader: - kv   3:                       general.organization str              = Bigscience
llama_model_loader: - kv   4:                           general.finetune str              = mt
llama_model_loader: - kv   5:                           general.basename str              = bloomz
llama_model_loader: - kv   6:                         general.size_label str              = 7.1B
llama_model_loader: - kv   7:                            general.license str              = agpl-3.0
llama_model_loader: - kv   8:                               general.tags arr[str,2]       = ["PULSE", "llm"]
llama_model_loader: - kv   9:                          general.languages arr[str,1]       = ["zh"]
llama_model_loader: - kv  10:                       bloom.context_length u32              = 2048
llama_model_loader: - kv  11:                     bloom.embedding_length u32              = 4096
llama_model_loader: - kv  12:                  bloom.feed_forward_length u32              = 16384
llama_model_loader: - kv  13:                          bloom.block_count u32              = 30
llama_model_loader: - kv  14:                 bloom.attention.head_count u32              = 32
llama_model_loader: - kv  15:              bloom.attention.head_count_kv u32              = 32
llama_model_loader: - kv  16:         bloom.attention.layer_norm_epsilon f32              = 0.000010
llama_model_loader: - kv  17:                          general.file_type u32              = 1
llama_model_loader: - kv  18:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  19:                         tokenizer.ggml.pre str              = bloom
llama_model_loader: - kv  20:                      tokenizer.ggml.tokens arr[str,250880]  = ["<unk>", "<s>", "</s>", "<pad>", "!"...
llama_model_loader: - kv  21:                  tokenizer.ggml.token_type arr[i32,250880]  = [3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  22:                      tokenizer.ggml.merges arr[str,250434]  = ["à ¤", "à ¦", "Ġ à", "à ¥", ...
llama_model_loader: - kv  23:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  24:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  25:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  26:            tokenizer.ggml.padding_token_id u32              = 3
llama_model_loader: - kv  27:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  244 tensors
llama_model_loader: - type  f16:  122 tensors
llm_load_vocab: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect
llm_load_vocab: special tokens cache size = 6
llm_load_vocab: token to piece cache size = 2.0858 MB
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = bloom
llm_load_print_meta: vocab type       = BPE
llm_load_print_meta: n_vocab          = 250880
llm_load_print_meta: n_merges         = 250434
llm_load_print_meta: vocab_only       = 0
llm_load_print_meta: n_ctx_train      = 2048
llm_load_print_meta: n_embd           = 4096
llm_load_print_meta: n_layer          = 30
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 32
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_swa            = 0
llm_load_print_meta: n_embd_head_k    = 128
llm_load_print_meta: n_embd_head_v    = 128
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: n_embd_k_gqa     = 4096
llm_load_print_meta: n_embd_v_gqa     = 4096
llm_load_print_meta: f_norm_eps       = 1.0e-05
llm_load_print_meta: f_norm_rms_eps   = 0.0e+00
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 8.0e+00
llm_load_print_meta: f_logit_scale    = 0.0e+00
llm_load_print_meta: n_ff             = 16384
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: causal attn      = 1
llm_load_print_meta: pooling type     = 0
llm_load_print_meta: rope type        = -1
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_ctx_orig_yarn  = 2048
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: ssm_d_conv       = 0
llm_load_print_meta: ssm_d_inner      = 0
llm_load_print_meta: ssm_d_state      = 0
llm_load_print_meta: ssm_dt_rank      = 0
llm_load_print_meta: ssm_dt_b_c_rms   = 0
llm_load_print_meta: model type       = 7B
llm_load_print_meta: model ftype      = F16
llm_load_print_meta: model params     = 8.10 B
llm_load_print_meta: model size       = 15.08 GiB (16.00 BPW)
llm_load_print_meta: general.name     = Bloomz 7b1 Mt
llm_load_print_meta: BOS token        = 1 '<s>'
llm_load_print_meta: EOS token        = 2 '</s>'
llm_load_print_meta: UNK token        = 0 '<unk>'
llm_load_print_meta: PAD token        = 3 '<pad>'
llm_load_print_meta: LF token         = 130 'Ä'
llm_load_print_meta: EOG token        = 2 '</s>'
llm_load_print_meta: max token length = 900
llm_load_tensors: ggml ctx size =    0.32 MiB
ggml_backend_metal_log_allocated_size: allocated buffer, size = 13486.17 MiB, (13486.23 / 21845.34)
llm_load_tensors: offloading 30 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 31/31 layers to GPU
llm_load_tensors:      Metal buffer size = 13486.17 MiB
llm_load_tensors:        CPU buffer size =  1960.00 MiB
.............................................................................
llama_new_context_with_model: n_ctx      = 256
llama_new_context_with_model: n_batch    = 256
llama_new_context_with_model: n_ubatch   = 256
llama_new_context_with_model: flash_attn = 0
llama_new_context_with_model: freq_base  = 10000.0
llama_new_context_with_model: freq_scale = 1
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1 Max
ggml_metal_init: picking default device: Apple M1 Max
ggml_metal_init: using embedded metal library
ggml_metal_init: GPU name:   Apple M1 Max
ggml_metal_init: GPU family: MTLGPUFamilyApple7  (1007)
ggml_metal_init: GPU family: MTLGPUFamilyCommon3 (3003)
ggml_metal_init: GPU family: MTLGPUFamilyMetal3  (5001)
ggml_metal_init: simdgroup reduction support   = true
ggml_metal_init: simdgroup matrix mul. support = true
ggml_metal_init: hasUnifiedMemory              = true
ggml_metal_init: recommendedMaxWorkingSetSize  = 22906.50 MB
llama_kv_cache_init:      Metal KV buffer size =   120.00 MiB
llama_new_context_with_model: KV self size  =  120.00 MiB, K (f16):   60.00 MiB, V (f16):   60.00 MiB
llama_new_context_with_model:        CPU  output buffer size =     0.96 MiB
llama_new_context_with_model:      Metal compute buffer size =   253.00 MiB
llama_new_context_with_model:        CPU compute buffer size =     4.25 MiB
llama_new_context_with_model: graph nodes  = 1120
llama_new_context_with_model: graph splits = 2
note: source model is f16
testing 366 layers with max size 1027604480
f16                                               : rmse 0.00000000, maxerr 0.00000003, 95pct<0.0002, median<0.0002
q4_0                                              : rmse 0.00138636, maxerr 1.10937500, 95pct<0.0026, median<0.0010
q4_1                                              : rmse 0.00121247, maxerr 0.54296875, 95pct<0.0024, median<0.0010
q5_0                                              : rmse 0.00069026, maxerr 0.48437500, 95pct<0.0014, median<0.0006
q5_1                                              : rmse 0.00058682, maxerr 0.28515625, 95pct<0.0012, median<0.0006
q8_0                                              : rmse 0.00008670, maxerr 0.06542969, 95pct<0.0002, median<0.0002
q2_K                                              : rmse 0.00458848, maxerr 2.14111328, 95pct<0.0092, median<0.0028
q3_K                                              : rmse 0.00237759, maxerr 1.82031250, 95pct<0.0046, median<0.0016
q4_K                                              : rmse 0.00111348, maxerr 0.54852295, 95pct<0.0022, median<0.0008
q5_K                                              : rmse 0.00056436, maxerr 0.27148438, 95pct<0.0012, median<0.0004
q6_K                                              : rmse 0.00028501, maxerr 0.23364258, 95pct<0.0006, median<0.0002
iq3_xxs                                           : rmse 0.00342342, maxerr 5.26354980, 95pct<0.0070, median<0.0018
iq4_nl                                            : rmse 0.00127413, maxerr 0.86791992, 95pct<0.0024, median<0.0010
iq3_s                                             : rmse 0.00274513, maxerr 2.35723877, 95pct<0.0054, median<0.0014
iq2_s                                             : rmse 0.00426713, maxerr 5.88697815, 95pct<0.0082, median<0.0026
iq4_xs                                            : rmse 0.00122807, maxerr 0.88183594, 95pct<0.0024, median<0.0010
bf16                                              : rmse 0.00000000, maxerr 0.00000000, 95pct<0.0002, median<0.0002
tq1_0                                             : rmse 0.01272682, maxerr 8.12500000, 95pct<0.0240, median<0.0084
tq2_0                                             : rmse 0.01272682, maxerr 8.12500000, 95pct<0.0240, median<0.0084
ggml_metal_free: deallocating

main:    total time = 1215216.45 ms

量化模型

转换后的gguf模型,还是F16精度的,对于在本地电脑部署,还是比较占用资源的。

将模型量化为int4

llama-quantize ~/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf ~/ollama/PULSE-7bv5/PULSE-7bv5-Q4_0.gguf Q4_0

输出

❯ llama-quantize ~/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf ~/ollama/PULSE-7bv5/PULSE-7bv5-Q4_0.gguf Q4_0
main: build = 3896 (63747437)
main: built with Apple clang version 15.0.0 (clang-1500.3.9.4) for arm64-apple-darwin23.6.0
main: quantizing '/Users/fendoudebb/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf' to '/Users/fendoudebb/ollama/PULSE-7bv5/PULSE-7bv5-Q4_0.gguf' as Q4_0
llama_model_loader: loaded meta data with 28 key-value pairs and 366 tensors from /Users/fendoudebb/ollama/PULSE-7bv5/bloomz-7.1B-mt-F16.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv   0:                       general.architecture str              = bloom
llama_model_loader: - kv   1:                               general.type str              = model
llama_model_loader: - kv   2:                               general.name str              = Bloomz 7b1 Mt
llama_model_loader: - kv   3:                       general.organization str              = Bigscience
llama_model_loader: - kv   4:                           general.finetune str              = mt
llama_model_loader: - kv   5:                           general.basename str              = bloomz
llama_model_loader: - kv   6:                         general.size_label str              = 7.1B
llama_model_loader: - kv   7:                            general.license str              = agpl-3.0
llama_model_loader: - kv   8:                               general.tags arr[str,2]       = ["PULSE", "llm"]
llama_model_loader: - kv   9:                          general.languages arr[str,1]       = ["zh"]
llama_model_loader: - kv  10:                       bloom.context_length u32              = 2048
llama_model_loader: - kv  11:                     bloom.embedding_length u32              = 4096
llama_model_loader: - kv  12:                  bloom.feed_forward_length u32              = 16384
llama_model_loader: - kv  13:                          bloom.block_count u32              = 30
llama_model_loader: - kv  14:                 bloom.attention.head_count u32              = 32
llama_model_loader: - kv  15:              bloom.attention.head_count_kv u32              = 32
llama_model_loader: - kv  16:         bloom.attention.layer_norm_epsilon f32              = 0.000010
llama_model_loader: - kv  17:                          general.file_type u32              = 1
llama_model_loader: - kv  18:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  19:                         tokenizer.ggml.pre str              = bloom
llama_model_loader: - kv  20:                      tokenizer.ggml.tokens arr[str,250880]  = ["<unk>", "<s>", "</s>", "<pad>", "!"...
llama_model_loader: - kv  21:                  tokenizer.ggml.token_type arr[i32,250880]  = [3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  22:                      tokenizer.ggml.merges arr[str,250434]  = ["à ¤", "à ¦", "Ġ à", "à ¥", ...
llama_model_loader: - kv  23:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  24:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  25:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  26:            tokenizer.ggml.padding_token_id u32              = 3
llama_model_loader: - kv  27:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  244 tensors
llama_model_loader: - type  f16:  122 tensors
[   1/ 366]                    token_embd.weight - [ 4096, 250880,     1,     1], type =    f16, converting to q4_0 .. size =  1960.00 MiB ->   551.25 MiB
[   2/ 366]               token_embd_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[   3/ 366]                 token_embd_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[   4/ 366]               blk.0.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[   5/ 366]                 blk.0.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[   6/ 366]                blk.0.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[   7/ 366]                  blk.0.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[   8/ 366]             blk.0.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[   9/ 366]               blk.0.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  10/ 366]                blk.0.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  11/ 366]                  blk.0.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  12/ 366]                  blk.0.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  13/ 366]                    blk.0.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  14/ 366]                blk.0.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  15/ 366]                  blk.0.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  16/ 366]               blk.1.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  17/ 366]                 blk.1.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  18/ 366]                blk.1.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  19/ 366]                  blk.1.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  20/ 366]             blk.1.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  21/ 366]               blk.1.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  22/ 366]                blk.1.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  23/ 366]                  blk.1.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  24/ 366]                  blk.1.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  25/ 366]                    blk.1.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  26/ 366]                blk.1.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  27/ 366]                  blk.1.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  28/ 366]               blk.2.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  29/ 366]                 blk.2.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  30/ 366]                blk.2.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  31/ 366]                  blk.2.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  32/ 366]             blk.2.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  33/ 366]               blk.2.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  34/ 366]                blk.2.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  35/ 366]                  blk.2.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  36/ 366]                  blk.2.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  37/ 366]                    blk.2.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  38/ 366]                blk.2.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  39/ 366]                  blk.2.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  40/ 366]               blk.3.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  41/ 366]                 blk.3.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  42/ 366]                blk.3.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  43/ 366]                  blk.3.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  44/ 366]             blk.3.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  45/ 366]               blk.3.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  46/ 366]                blk.3.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  47/ 366]                  blk.3.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  48/ 366]                  blk.3.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  49/ 366]                    blk.3.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  50/ 366]                blk.3.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  51/ 366]                  blk.3.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  52/ 366]               blk.4.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  53/ 366]                 blk.4.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  54/ 366]                blk.4.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  55/ 366]                  blk.4.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  56/ 366]             blk.4.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  57/ 366]               blk.4.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  58/ 366]                blk.4.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  59/ 366]                  blk.4.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  60/ 366]                  blk.4.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  61/ 366]                    blk.4.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  62/ 366]                blk.4.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  63/ 366]                  blk.4.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  64/ 366]               blk.5.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  65/ 366]                 blk.5.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  66/ 366]                blk.5.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  67/ 366]                  blk.5.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  68/ 366]             blk.5.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  69/ 366]               blk.5.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  70/ 366]                blk.5.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  71/ 366]                  blk.5.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  72/ 366]                  blk.5.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  73/ 366]                    blk.5.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  74/ 366]                blk.5.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  75/ 366]                  blk.5.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  76/ 366]               blk.6.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  77/ 366]                 blk.6.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  78/ 366]                blk.6.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  79/ 366]                  blk.6.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  80/ 366]             blk.6.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  81/ 366]               blk.6.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  82/ 366]                blk.6.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  83/ 366]                  blk.6.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  84/ 366]                  blk.6.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  85/ 366]                    blk.6.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  86/ 366]                blk.6.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  87/ 366]                  blk.6.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  88/ 366]               blk.7.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  89/ 366]                 blk.7.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  90/ 366]                blk.7.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[  91/ 366]                  blk.7.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[  92/ 366]             blk.7.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[  93/ 366]               blk.7.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  94/ 366]                blk.7.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  95/ 366]                  blk.7.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[  96/ 366]                  blk.7.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  97/ 366]                    blk.7.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[  98/ 366]                blk.7.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[  99/ 366]                  blk.7.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 100/ 366]               blk.8.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 101/ 366]                 blk.8.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 102/ 366]                blk.8.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 103/ 366]                  blk.8.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 104/ 366]             blk.8.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 105/ 366]               blk.8.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 106/ 366]                blk.8.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 107/ 366]                  blk.8.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 108/ 366]                  blk.8.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 109/ 366]                    blk.8.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 110/ 366]                blk.8.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 111/ 366]                  blk.8.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 112/ 366]               blk.9.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 113/ 366]                 blk.9.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 114/ 366]                blk.9.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 115/ 366]                  blk.9.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 116/ 366]             blk.9.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 117/ 366]               blk.9.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 118/ 366]                blk.9.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 119/ 366]                  blk.9.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 120/ 366]                  blk.9.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 121/ 366]                    blk.9.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 122/ 366]                blk.9.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 123/ 366]                  blk.9.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 124/ 366]              blk.10.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 125/ 366]                blk.10.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 126/ 366]               blk.10.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 127/ 366]                 blk.10.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 128/ 366]            blk.10.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 129/ 366]              blk.10.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 130/ 366]               blk.10.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 131/ 366]                 blk.10.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 132/ 366]                 blk.10.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 133/ 366]                   blk.10.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 134/ 366]               blk.10.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 135/ 366]                 blk.10.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 136/ 366]              blk.11.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 137/ 366]                blk.11.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 138/ 366]               blk.11.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 139/ 366]                 blk.11.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 140/ 366]            blk.11.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 141/ 366]              blk.11.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 142/ 366]               blk.11.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 143/ 366]                 blk.11.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 144/ 366]                 blk.11.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 145/ 366]                   blk.11.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 146/ 366]               blk.11.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 147/ 366]                 blk.11.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 148/ 366]              blk.12.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 149/ 366]                blk.12.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 150/ 366]               blk.12.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 151/ 366]                 blk.12.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 152/ 366]            blk.12.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 153/ 366]              blk.12.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 154/ 366]               blk.12.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 155/ 366]                 blk.12.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 156/ 366]                 blk.12.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 157/ 366]                   blk.12.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 158/ 366]               blk.12.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 159/ 366]                 blk.12.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 160/ 366]              blk.13.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 161/ 366]                blk.13.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 162/ 366]               blk.13.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 163/ 366]                 blk.13.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 164/ 366]            blk.13.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 165/ 366]              blk.13.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 166/ 366]               blk.13.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 167/ 366]                 blk.13.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 168/ 366]                 blk.13.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 169/ 366]                   blk.13.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 170/ 366]               blk.13.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 171/ 366]                 blk.13.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 172/ 366]              blk.14.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 173/ 366]                blk.14.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 174/ 366]               blk.14.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 175/ 366]                 blk.14.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 176/ 366]            blk.14.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 177/ 366]              blk.14.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 178/ 366]               blk.14.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 179/ 366]                 blk.14.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 180/ 366]                 blk.14.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 181/ 366]                   blk.14.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 182/ 366]               blk.14.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 183/ 366]                 blk.14.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 184/ 366]              blk.15.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 185/ 366]                blk.15.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 186/ 366]               blk.15.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 187/ 366]                 blk.15.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 188/ 366]            blk.15.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 189/ 366]              blk.15.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 190/ 366]               blk.15.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 191/ 366]                 blk.15.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 192/ 366]                 blk.15.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 193/ 366]                   blk.15.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 194/ 366]               blk.15.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 195/ 366]                 blk.15.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 196/ 366]              blk.16.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 197/ 366]                blk.16.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 198/ 366]               blk.16.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 199/ 366]                 blk.16.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 200/ 366]            blk.16.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 201/ 366]              blk.16.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 202/ 366]               blk.16.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 203/ 366]                 blk.16.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 204/ 366]                 blk.16.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 205/ 366]                   blk.16.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 206/ 366]               blk.16.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 207/ 366]                 blk.16.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 208/ 366]              blk.17.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 209/ 366]                blk.17.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 210/ 366]               blk.17.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 211/ 366]                 blk.17.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 212/ 366]            blk.17.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 213/ 366]              blk.17.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 214/ 366]               blk.17.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 215/ 366]                 blk.17.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 216/ 366]                 blk.17.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 217/ 366]                   blk.17.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 218/ 366]               blk.17.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 219/ 366]                 blk.17.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 220/ 366]              blk.18.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 221/ 366]                blk.18.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 222/ 366]               blk.18.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 223/ 366]                 blk.18.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 224/ 366]            blk.18.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 225/ 366]              blk.18.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 226/ 366]               blk.18.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 227/ 366]                 blk.18.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 228/ 366]                 blk.18.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 229/ 366]                   blk.18.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 230/ 366]               blk.18.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 231/ 366]                 blk.18.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 232/ 366]              blk.19.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 233/ 366]                blk.19.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 234/ 366]               blk.19.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 235/ 366]                 blk.19.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 236/ 366]            blk.19.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 237/ 366]              blk.19.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 238/ 366]               blk.19.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 239/ 366]                 blk.19.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 240/ 366]                 blk.19.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 241/ 366]                   blk.19.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 242/ 366]               blk.19.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 243/ 366]                 blk.19.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 244/ 366]              blk.20.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 245/ 366]                blk.20.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 246/ 366]               blk.20.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 247/ 366]                 blk.20.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 248/ 366]            blk.20.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 249/ 366]              blk.20.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 250/ 366]               blk.20.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 251/ 366]                 blk.20.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 252/ 366]                 blk.20.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 253/ 366]                   blk.20.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 254/ 366]               blk.20.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 255/ 366]                 blk.20.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 256/ 366]              blk.21.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 257/ 366]                blk.21.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 258/ 366]               blk.21.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 259/ 366]                 blk.21.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 260/ 366]            blk.21.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 261/ 366]              blk.21.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 262/ 366]               blk.21.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 263/ 366]                 blk.21.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 264/ 366]                 blk.21.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 265/ 366]                   blk.21.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 266/ 366]               blk.21.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 267/ 366]                 blk.21.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 268/ 366]              blk.22.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 269/ 366]                blk.22.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 270/ 366]               blk.22.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 271/ 366]                 blk.22.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 272/ 366]            blk.22.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 273/ 366]              blk.22.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 274/ 366]               blk.22.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 275/ 366]                 blk.22.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 276/ 366]                 blk.22.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 277/ 366]                   blk.22.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 278/ 366]               blk.22.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 279/ 366]                 blk.22.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 280/ 366]              blk.23.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 281/ 366]                blk.23.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 282/ 366]               blk.23.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 283/ 366]                 blk.23.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 284/ 366]            blk.23.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 285/ 366]              blk.23.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 286/ 366]               blk.23.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 287/ 366]                 blk.23.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 288/ 366]                 blk.23.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 289/ 366]                   blk.23.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 290/ 366]               blk.23.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 291/ 366]                 blk.23.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 292/ 366]              blk.24.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 293/ 366]                blk.24.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 294/ 366]               blk.24.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 295/ 366]                 blk.24.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 296/ 366]            blk.24.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 297/ 366]              blk.24.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 298/ 366]               blk.24.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 299/ 366]                 blk.24.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 300/ 366]                 blk.24.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 301/ 366]                   blk.24.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 302/ 366]               blk.24.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 303/ 366]                 blk.24.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 304/ 366]              blk.25.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 305/ 366]                blk.25.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 306/ 366]               blk.25.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 307/ 366]                 blk.25.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 308/ 366]            blk.25.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 309/ 366]              blk.25.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 310/ 366]               blk.25.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 311/ 366]                 blk.25.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 312/ 366]                 blk.25.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 313/ 366]                   blk.25.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 314/ 366]               blk.25.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 315/ 366]                 blk.25.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 316/ 366]              blk.26.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 317/ 366]                blk.26.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 318/ 366]               blk.26.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 319/ 366]                 blk.26.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 320/ 366]            blk.26.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 321/ 366]              blk.26.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 322/ 366]               blk.26.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 323/ 366]                 blk.26.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 324/ 366]                 blk.26.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 325/ 366]                   blk.26.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 326/ 366]               blk.26.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 327/ 366]                 blk.26.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 328/ 366]              blk.27.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 329/ 366]                blk.27.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 330/ 366]               blk.27.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 331/ 366]                 blk.27.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 332/ 366]            blk.27.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 333/ 366]              blk.27.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 334/ 366]               blk.27.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 335/ 366]                 blk.27.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 336/ 366]                 blk.27.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 337/ 366]                   blk.27.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 338/ 366]               blk.27.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 339/ 366]                 blk.27.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 340/ 366]              blk.28.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 341/ 366]                blk.28.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 342/ 366]               blk.28.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 343/ 366]                 blk.28.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 344/ 366]            blk.28.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 345/ 366]              blk.28.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 346/ 366]               blk.28.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 347/ 366]                 blk.28.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 348/ 366]                 blk.28.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 349/ 366]                   blk.28.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 350/ 366]               blk.28.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 351/ 366]                 blk.28.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 352/ 366]              blk.29.attn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 353/ 366]                blk.29.attn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 354/ 366]               blk.29.attn_qkv.weight - [ 4096, 12288,     1,     1], type =    f16, converting to q4_0 .. size =    96.00 MiB ->    27.00 MiB
[ 355/ 366]                 blk.29.attn_qkv.bias - [12288,     1,     1,     1], type =    f32, size =    0.047 MB
[ 356/ 366]            blk.29.attn_output.weight - [ 4096,  4096,     1,     1], type =    f16, converting to q4_0 .. size =    32.00 MiB ->     9.00 MiB
[ 357/ 366]              blk.29.attn_output.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 358/ 366]               blk.29.ffn_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 359/ 366]                 blk.29.ffn_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 360/ 366]                 blk.29.ffn_up.weight - [ 4096, 16384,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 361/ 366]                   blk.29.ffn_up.bias - [16384,     1,     1,     1], type =    f32, size =    0.062 MB
[ 362/ 366]               blk.29.ffn_down.weight - [16384,  4096,     1,     1], type =    f16, converting to q4_0 .. size =   128.00 MiB ->    36.00 MiB
[ 363/ 366]                 blk.29.ffn_down.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 364/ 366]                   output_norm.weight - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 365/ 366]                     output_norm.bias - [ 4096,     1,     1,     1], type =    f32, size =    0.016 MB
[ 366/ 366]                        output.weight - [ 4096, 250880,     1,     1], type =    f16, converting to q6_K .. size =  1960.00 MiB ->   803.91 MiB
llama_model_quantize_internal: model size  = 15446.16 MB
llama_model_quantize_internal: quant size  =  4601.31 MB

main: quantize time = 15078.93 ms
main:    total time = 15078.93 ms

导入到 Ollama

编写Modelfile文件

FROM ./PULSE-7bv5-Q4_0.gguf

创建模型

ollama create PULSE-7bv5 -f Modelfile

输出

❯ ollama create PULSE-7bv5 -f Modelfile
transferring model data 100%
using existing layer sha256:511c2549629fbeaaa9dca58493dad4681383cca63ceea063803cb9a8d5f21269
creating new layer sha256:d98f74b937eb4bd3e01a558697c988c038ec91556779b9a938435dec3650e173
writing manifest
success
Views: 685 · Posted: 2024-10-10

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