| llama_print_build_info: build = 1 (40b740a) |
| llama_print_build_info: built with Clang 21.1.8 for Linux x86_64 |
| llama_quantize: quantizing '/home/codex/tmp/gemma4-final2-work-20260809/gemma4-random-model-F32.gguf' to 'artifacts/gemma4-v0/gemma4-random-model/gguf-q4_0/gemma4-random-model-Q4_0.gguf' as Q4_0 |
| llama_model_loader: loaded meta data with 39 key-value pairs and 86 tensors from /home/codex/tmp/gemma4-final2-work-20260809/gemma4-random-model-F32.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 = gemma4 |
| llama_model_loader: - kv 1: general.type str = model |
| llama_model_loader: - kv 2: general.name str = Tiny Gemma 4 Random |
| llama_model_loader: - kv 3: general.basename str = tiny-gemma4-random |
| llama_model_loader: - kv 4: general.alignment u32 = 32 |
| llama_model_loader: - kv 5: gemma4.block_count u32 = 6 |
| llama_model_loader: - kv 6: gemma4.context_length u32 = 128 |
| llama_model_loader: - kv 7: gemma4.embedding_length u32 = 128 |
| llama_model_loader: - kv 8: gemma4.feed_forward_length u32 = 512 |
| llama_model_loader: - kv 9: gemma4.attention.head_count u32 = 4 |
| llama_model_loader: - kv 10: gemma4.attention.head_count_kv arr[i32,6] = [2, 2, 2, 2, 2, 1] |
| llama_model_loader: - kv 11: gemma4.rope.freq_base f32 = 1000000.000000 |
| llama_model_loader: - kv 12: gemma4.rope.freq_base_swa f32 = 10000.000000 |
| llama_model_loader: - kv 13: gemma4.attention.layer_norm_rms_epsilon f32 = 0.000001 |
| llama_model_loader: - kv 14: gemma4.attention.key_length u32 = 64 |
| llama_model_loader: - kv 15: gemma4.attention.value_length u32 = 64 |
| llama_model_loader: - kv 16: gemma4.attention.key_length_swa u32 = 32 |
| llama_model_loader: - kv 17: gemma4.attention.value_length_swa u32 = 32 |
| llama_model_loader: - kv 18: gemma4.final_logit_softcapping f32 = 30.000000 |
| llama_model_loader: - kv 19: gemma4.attention.sliding_window u32 = 64 |
| llama_model_loader: - kv 20: gemma4.attention.shared_kv_layers u32 = 0 |
| llama_model_loader: - kv 21: gemma4.embedding_length_per_layer_input u32 = 0 |
| llama_model_loader: - kv 22: gemma4.attention.sliding_window_pattern arr[bool,6] = [true, true, true, true, true, false] |
| llama_model_loader: - kv 23: gemma4.rope.dimension_count u32 = 64 |
| llama_model_loader: - kv 24: gemma4.rope.dimension_count_swa u32 = 32 |
| llama_model_loader: - kv 25: general.file_type u32 = 0 |
| llama_model_loader: - kv 26: general.quantization_version u32 = 2 |
| llama_model_loader: - kv 27: tokenizer.ggml.model str = gemma4 |
| llama_model_loader: - kv 28: tokenizer.ggml.tokens arr[str,128] = ["<pad>", "<eos>", "<bos>", "<unk>", ... |
| llama_model_loader: - kv 29: tokenizer.ggml.scores arr[f32,128] = [-1000.000000, -1000.000000, -1000.00... |
| llama_model_loader: - kv 30: tokenizer.ggml.token_type arr[i32,128] = [3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, ... |
| llama_model_loader: - kv 31: tokenizer.ggml.merges arr[str,1] = ["a b"] |
| llama_model_loader: - kv 32: tokenizer.ggml.bos_token_id u32 = 2 |
| llama_model_loader: - kv 33: tokenizer.ggml.eos_token_id u32 = 1 |
| llama_model_loader: - kv 34: tokenizer.ggml.unknown_token_id u32 = 3 |
| llama_model_loader: - kv 35: tokenizer.ggml.padding_token_id u32 = 0 |
| llama_model_loader: - kv 36: tokenizer.ggml.mask_token_id u32 = 4 |
| llama_model_loader: - kv 37: tokenizer.ggml.add_bos_token bool = true |
| llama_model_loader: - kv 38: tokenizer.ggml.add_space_prefix bool = false |
| llama_model_loader: - type f32: 86 tensors |
| [ 1/ 86] output_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 2/ 86] rope_freqs.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 3/ 86] token_embd.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 4/ 86] blk.0.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 5/ 86] blk.0.attn_k_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 6/ 86] blk.0.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 7/ 86] blk.0.attn_output.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 8/ 86] blk.0.attn_q.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 9/ 86] blk.0.attn_q_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 10/ 86] blk.0.attn_v.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 11/ 86] blk.0.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 12/ 86] blk.0.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 13/ 86] blk.0.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 14/ 86] blk.0.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 15/ 86] blk.0.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 16/ 86] blk.0.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 17/ 86] blk.0.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 18/ 86] blk.1.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 19/ 86] blk.1.attn_k_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 20/ 86] blk.1.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 21/ 86] blk.1.attn_output.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 22/ 86] blk.1.attn_q.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 23/ 86] blk.1.attn_q_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 24/ 86] blk.1.attn_v.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 25/ 86] blk.1.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 26/ 86] blk.1.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 27/ 86] blk.1.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 28/ 86] blk.1.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 29/ 86] blk.1.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 30/ 86] blk.1.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 31/ 86] blk.1.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 32/ 86] blk.2.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 33/ 86] blk.2.attn_k_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 34/ 86] blk.2.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 35/ 86] blk.2.attn_output.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 36/ 86] blk.2.attn_q.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 37/ 86] blk.2.attn_q_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 38/ 86] blk.2.attn_v.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 39/ 86] blk.2.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 40/ 86] blk.2.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 41/ 86] blk.2.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 42/ 86] blk.2.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 43/ 86] blk.2.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 44/ 86] blk.2.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 45/ 86] blk.2.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 46/ 86] blk.3.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 47/ 86] blk.3.attn_k_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 48/ 86] blk.3.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 49/ 86] blk.3.attn_output.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 50/ 86] blk.3.attn_q.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 51/ 86] blk.3.attn_q_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 52/ 86] blk.3.attn_v.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 53/ 86] blk.3.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 54/ 86] blk.3.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 55/ 86] blk.3.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 56/ 86] blk.3.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 57/ 86] blk.3.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 58/ 86] blk.3.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 59/ 86] blk.3.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 60/ 86] blk.4.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 61/ 86] blk.4.attn_k_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 62/ 86] blk.4.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 63/ 86] blk.4.attn_output.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 64/ 86] blk.4.attn_q.weight - [ 128, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.06 MiB -> 0.01 MiB |
| [ 65/ 86] blk.4.attn_q_norm.weight - [ 32, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 66/ 86] blk.4.attn_v.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 67/ 86] blk.4.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 68/ 86] blk.4.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 69/ 86] blk.4.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 70/ 86] blk.4.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 71/ 86] blk.4.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 72/ 86] blk.4.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 73/ 86] blk.4.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 74/ 86] blk.5.attn_k.weight - [ 128, 64, 1, 1], type = f32, converting to q4_0 .. size = 0.03 MiB -> 0.00 MiB |
| [ 75/ 86] blk.5.attn_k_norm.weight - [ 64, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 76/ 86] blk.5.attn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 77/ 86] blk.5.attn_output.weight - [ 256, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.12 MiB -> 0.02 MiB |
| [ 78/ 86] blk.5.attn_q.weight - [ 128, 256, 1, 1], type = f32, converting to q4_0 .. size = 0.12 MiB -> 0.02 MiB |
| [ 79/ 86] blk.5.attn_q_norm.weight - [ 64, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 80/ 86] blk.5.ffn_down.weight - [ 512, 128, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 81/ 86] blk.5.ffn_gate.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 82/ 86] blk.5.ffn_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 83/ 86] blk.5.ffn_up.weight - [ 128, 512, 1, 1], type = f32, converting to q4_0 .. size = 0.25 MiB -> 0.04 MiB |
| [ 84/ 86] blk.5.layer_output_scale.weight - [ 1, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 85/ 86] blk.5.post_attention_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| [ 86/ 86] blk.5.post_ffw_norm.weight - [ 128, 1, 1, 1], type = f32, size = 0.000 MiB |
| llama_model_quantize_impl: model size = 5.80 MiB (32.00 BPW) |
| llama_model_quantize_impl: quant size = 0.83 MiB (4.57 BPW) |
| |
| llama_quantize: quantize time = 49.59 ms |
| llama_quantize: total time = 49.59 ms |
| |
