Closed
Description
Name and Version
version: 5489 (2d38b6e)
built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
Operating systems
Linux
GGML backends
CPU, CUDA
Hardware
INTEL(R) XEON(R) PLATINUM 8558 + Hopper GPU
Models
Qwen3-Embedding-8B
Problem description & steps to reproduce
git clone https://github.com/ggml-org/llama.cppcmake -B build && cmake --build build --config Release -j 32python convert_hf_to_gguf.py Qwen3-Embedding-8B --outfile Qwen3-Embedding-8B-f16.gguf --outtype f16
INFO:hf-to-gguf:Loading model: Qwen3-Embedding-8B
INFO:hf-to-gguf:Model architecture: Qwen3ForCausalLM
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 'model.safetensors.index.json'
INFO:hf-to-gguf:gguf: loading model part 'model-00001-of-00007.safetensors'
INFO:hf-to-gguf:token_embd.weight, torch.float32 --> F16, shape = {4096, 151665}
INFO:hf-to-gguf:blk.0.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.0.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.0.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.0.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.0.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.0.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.0.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.0.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.0.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.0.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.1.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.1.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.1.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.1.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.1.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.1.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.1.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.1.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.1.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.1.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.2.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.2.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO
B41A
:hf-to-gguf:blk.2.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.2.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.2.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.2.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.2.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.2.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.2.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.2.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.3.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.3.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.3.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.3.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.3.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.3.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:gguf: loading model part 'model-00002-of-00007.safetensors'
INFO:hf-to-gguf:blk.3.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.3.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.3.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.3.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.3.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.4.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.4.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.4.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.4.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.4.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.4.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.4.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.4.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.4.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.5.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.5.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.5.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.5.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.5.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.5.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.5.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.5.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.5.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.5.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.6.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.6.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.6.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.6.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.6.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.6.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.6.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.6.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.6.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.6.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.7.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.7.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.7.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.7.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.7.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.7.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.7.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.7.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.7.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.7.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.8.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.8.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.8.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.8.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.8.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.8.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.8.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.8.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.8.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.8.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.9.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.9.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.9.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.9.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.9.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.9.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.9.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:gguf: loading model part 'model-00003-of-00007.safetensors'
INFO:hf-to-gguf:blk.10.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.10.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.10.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.10.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.10.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.10.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.10.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.10.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.10.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.10.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.11.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.11.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.11.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.11.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.11.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.11.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.11.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.11.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.11.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.11.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.12.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.12.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.12.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.12.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.12.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.12.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.12.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.12.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.12.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.12.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.13.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.13.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.13.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.13.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.13.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.13.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.13.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.13.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.13.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.13.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.14.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.14.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.14.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.14.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.14.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.14.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.14.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.14.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.14.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.14.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.15.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.15.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.15.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.15.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.15.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.15.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.15.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.15.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.9.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.9.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.9.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.9.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:gguf: loading model part 'model-00004-of-00007.safetensors'
INFO:hf-to-gguf:blk.15.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.15.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.15.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.16.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.16.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.16.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.16.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.16.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.16.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.16.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.16.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.16.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.17.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.17.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.17.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.17.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.17.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.17.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.17.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.17.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.17.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.17.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.18.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.18.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.18.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.18.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.18.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.18.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.18.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.18.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.18.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.18.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.19.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.19.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.19.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.19.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.19.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.19.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.19.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.19.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.19.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.19.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.20.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.20.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.20.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.20.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.20.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.20.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.20.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.20.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.20.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.20.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.21.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.21.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.21.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.21.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.21.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.21.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.21.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.21.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.21.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.21.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.22.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.22.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.22.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.22.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.22.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.22.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:gguf: loading model part 'model-00005-of-00007.safetensors'
INFO:hf-to-gguf:blk.22.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.22.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.22.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.22.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.22.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.23.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.23.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.23.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.23.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.23.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.23.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.23.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.23.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.23.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.24.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.24.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.24.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.24.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.24.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.24.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.24.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.24.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.24.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.24.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.25.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.25.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.25.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.25.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.25.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.25.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.25.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.25.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.25.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.25.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.26.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.26.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.26.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.26.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.26.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.26.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.26.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.26.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.26.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.26.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.27.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.27.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.27.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.27.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.27.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.27.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.27.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.27.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.27.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.27.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.28.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.28.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.28.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.28.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.28.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.28.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.28.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:gguf: loading model part 'model-00006-of-00007.safetensors'
INFO:hf-to-gguf:blk.28.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.28.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.28.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.28.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.29.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.29.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.29.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.29.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.29.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.29.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.29.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.29.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.29.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.30.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.30.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.30.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.30.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.30.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.30.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.30.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.30.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.30.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.30.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.30.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.31.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.31.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.31.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.31.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.31.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.31.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.31.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.31.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.31.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.31.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.31.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.32.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.32.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.32.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.32.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.32.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.32.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.32.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.32.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.32.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.32.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.32.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.33.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.33.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.33.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.33.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.33.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.33.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.33.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.33.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.33.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.33.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.33.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.34.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.34.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.34.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.34.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.34.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.34.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.34.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.34.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:gguf: loading model part 'model-00007-of-00007.safetensors'
INFO:hf-to-gguf:output.weight, torch.float32 --> F16, shape = {4096, 151665}
INFO:hf-to-gguf:blk.34.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.34.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.34.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.35.attn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.35.ffn_down.weight, torch.float32 --> F16, shape = {12288, 4096}
INFO:hf-to-gguf:blk.35.ffn_gate.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.35.ffn_up.weight, torch.float32 --> F16, shape = {4096, 12288}
INFO:hf-to-gguf:blk.35.ffn_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:blk.35.attn_k_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.35.attn_k.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:blk.35.attn_output.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.35.attn_q_norm.weight, torch.float32 --> F32, shape = {128}
INFO:hf-to-gguf:blk.35.attn_q.weight, torch.float32 --> F16, shape = {4096, 4096}
INFO:hf-to-gguf:blk.35.attn_v.weight, torch.float32 --> F16, shape = {4096, 1024}
INFO:hf-to-gguf:output_norm.weight, torch.float32 --> F32, shape = {4096}
INFO:hf-to-gguf:Set meta model
INFO:hf-to-gguf:Set model parameters
INFO:hf-to-gguf:gguf: context length = 40960
INFO:hf-to-gguf:gguf: embedding length = 4096
INFO:hf-to-gguf:gguf: feed forward length = 12288
INFO:hf-to-gguf:gguf: head count = 32
INFO:hf-to-gguf:gguf: key-value head count = 8
INFO:hf-to-gguf:gguf: rope theta = 1000000
INFO:hf-to-gguf:gguf: rms norm epsilon = 1e-06
INFO:hf-to-gguf:gguf: file type = 1
INFO:hf-to-gguf:Set model quantization version
INFO:hf-to-gguf:Set model tokenizer
INFO:gguf.vocab:Adding 151387 merge(s).
INFO:gguf.vocab:Setting special token type eos to 151645
INFO:gguf.vocab:Setting special token type pad to 151643
INFO:gguf.vocab:Setting special token type bos to 151643
INFO:gguf.vocab:Setting add_bos_token to False
INFO:gguf.vocab:Setting chat_template to {%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are a helpful assistant.' }}
{%- endif %}
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}
INFO:gguf.gguf_writer:Writing the following files:
INFO:gguf.gguf_writer:Qwen3-Embedding-8B-f16.gguf: n_tensors = 399, total_size = 16.4G
Writing: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16.4G/16.4G [00:43<00:00, 375Mbyte/s]
INFO:hf-to-gguf:Model successfully exported to Qwen3-Embedding-8B-f16.gguf
./build/bin/llama-embedding -m Qwen3-Embedding-8B-f16.gguf -e -p "hello world!" --pooling cls -ub 8192
However, the embedding it generated is NAN. I tried different pooling methods such as mean or cls, but none of them solved the problem. I have checked and found that there are no NAN values in the generated GGUF file.
Is it because my way of using llama.cpp is incorrect? Or did I not handle the input data correctly?
First Bad Commit
No response
Relevant log output
build: 5489 (2d38b6e4) with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
main: setting batch size to 4096
llama_model_loader: loaded meta data with 27 key-value pairs and 399 tensors from Qwen3-Embedding-8B-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 = qwen3
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen3 Embedding 8B
llama_model_loader: - kv 3: general.basename str = Qwen3-Embedding
llama_model_loader: - kv 4: general.size_label str = 8B
llama_model_loader: - kv 5: qwen3.block_count u32 = 36
llama_model_loader: - kv 6: qwen3.context_length u32 = 40960
llama_model_loader: - kv 7: qwen3.embedding_length u32 = 4096
llama_model_loader: - kv 8: qwen3.feed_forward_length u32 = 12288
llama_model_loader: - kv 9: qwen3.attention.head_count u32 = 32
llama_model_loader: - kv 10: qwen3.attention.head_count_kv u32 = 8
llama_model_loader: - kv 11: qwen3.rope.freq_base f32 = 1000000.000000
llama_model_loader: - kv 12: qwen3.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 13: qwen3.attention.key_length u32 = 128
llama_model_loader: - kv 14: qwen3.attention.value_length u32 = 128
llama_model_loader: - kv 15: general.file_type u32 = 1
llama_model_loader: - kv 16: general.quantization_version u32 = 2
llama_model_loader: - kv 17: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 18: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 19: tokenizer.ggml.tokens arr[str,151665] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 20: tokenizer.ggml.token_type arr[i32,151665] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 21: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 22: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 23: tokenizer.ggml.padding_token_id u32 = 151643
llama_model_loader: - kv 24: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 25: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 26: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - type f32: 145 tensors
llama_model_loader: - type f16: 254 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = F16
print_info: file size = 15.25 GiB (16.00 BPW)
load: special tokens cache size = 22
load: token to piece cache size = 0.9310 MB
print_info: arch = qwen3
print_info: vocab_only = 0
print_info: n_ctx_train = 40960
print_info: n_embd = 4096
print_info: n_layer = 36
print_info: n_head = 32
print_info: n_head_kv = 8
print_info: n_rot = 128
print_info: n_swa = 0
print_info: is_swa_any = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 4
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-06
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: f_attn_scale = 0.0e+00
print_info: n_ff = 12288
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 2
print_info: rope scaling = linear
print_info: freq_base_train = 1000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 40960
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 8B
print_info: model params = 8.19 B
print_info: general.name = Qwen3 Embedding 8B
print_info: vocab type = BPE
print_info: n_vocab = 151665
print_info: n_merges = 151387
print_info: BOS token = 151643 '<|endoftext|>'
print_info: EOS token = 151645 '<|im_end|>'
print_info: EOT token = 151645 '<|im_end|>'
print_info: PAD token = 151643 '<|endoftext|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<|endoftext|>'
print_info: EOG token = 151645 '<|im_end|>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = true)
load_tensors: AMX model buffer size = 13248.00 MiB
load_tensors: CPU_Mapped model buffer size = 15618.94 MiB
.......................................................................................
llama_context: constructing llama_context
llama_context: n_seq_max = 1
llama_context: n_ctx = 4096
llama_context: n_ctx_per_seq = 4096
llama_context: n_batch = 4096
llama_context: n_ubatch = 4096
llama_context: causal_attn = 1
llama_context: flash_attn = 0
llama_context: freq_base = 1000000.0
llama_context: freq_scale = 1
llama_context: n_ctx_per_seq (4096) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
llama_context: CPU output buffer size = 0.00 MiB
llama_kv_cache_unified: CPU KV buffer size = 576.00 MiB
llama_kv_cache_unified: size = 576.00 MiB ( 4096 cells, 36 layers, 1 seqs), K (f16): 288.00 MiB, V (f16): 288.00 MiB
llama_context: CPU compute buffer size = 2497.83 MiB
llama_context: graph nodes = 1447
llama_context: graph splits = 1
common_init_from_params: setting dry_penalty_last_n to ctx_size = 4096
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
system_info: n_threads = 96 (n_threads_batch = 96) / 192 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | AMX_INT8 = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 |
main: last token in the prompt is not SEP
main: 'tokenizer.ggml.add_eos_token' should be set to 'true' in the GGUF header
main: prompt 0: 'hello world!'
main: number of tokens in prompt = 3
14990 -> 'hello'
1879 -> ' world'
0 -> '!'
batch_decode: n_tokens = 3, n_seq = 1
embedding 0: -nan -nan -nan -nan -nan ... -nan -nan -nan -nan
llama_perf_context_print: load time = 6998.78 ms
llama_perf_context_print: prompt eval time = 494.21 ms / 3 tokens ( 164.74 ms per token, 6.07 tokens per second)
llama_perf_context_print: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
llama_perf_context_print: total time = 553.83 ms / 4 tokens