# gemma-3-12b-it-IQ3_S.gguf - GGUF Internal File Dump - Endian: LITTLE endian ## Key Value Metadata Store There are 48 key-value pairs in this file | POS | TYPE | Count | Key | Value | |----:|:----------|-------:|:----------------------------------------|:-----------------------------------------------------------------------| | 1 | UINT32 | 1 | GGUF.version | 3 | | 2 | UINT64 | 1 | GGUF.tensor_count | 600 | | 3 | UINT64 | 1 | GGUF.kv_count | 45 | | 4 | STRING | 1 | general.architecture | `gemma3` | | 5 | STRING | 1 | general.type | `model` | | 6 | STRING | 1 | general.name | `Gemma 3 12b It` | | 7 | STRING | 1 | general.finetune | `it` | | 8 | STRING | 1 | general.basename | `gemma-3` | | 9 | STRING | 1 | general.size_label | `12B` | | 10 | STRING | 1 | general.license | `gemma` | | 11 | UINT32 | 1 | general.base_model.count | 1 | | 12 | STRING | 1 | general.base_model.0.name | `Gemma 3 12b Pt` | | 13 | STRING | 1 | general.base_model.0.organization | `Google` | | 14 | STRING | 1 | general.base_model.0.repo_url | `https://huggingface.co/google/gemma-3-12b-pt` | | 15 | [STRING] | 1 | general.tags | [ `image-text-to-text` ] | | 16 | UINT32 | 1 | gemma3.context_length | 131072 | | 17 | UINT32 | 1 | gemma3.embedding_length | 3840 | | 18 | UINT32 | 1 | gemma3.feed_forward_length | 15360 | | 19 | UINT32 | 1 | gemma3.attention.head_count | 16 | | 20 | FLOAT32 | 1 | gemma3.attention.layer_norm_rms_epsilon | 1e-06 | | 21 | UINT32 | 1 | gemma3.attention.key_length | 256 | | 22 | UINT32 | 1 | gemma3.attention.value_length | 256 | | 23 | FLOAT32 | 1 | gemma3.rope.freq_base | 1000000.0 | | 24 | UINT32 | 1 | gemma3.attention.sliding_window | 1024 | | 25 | UINT32 | 1 | gemma3.attention.head_count_kv | 8 | | 26 | STRING | 1 | gemma3.rope.scaling.type | `linear` | | 27 | FLOAT32 | 1 | gemma3.rope.scaling.factor | 8.0 | | 28 | STRING | 1 | tokenizer.ggml.model | `llama` | | 29 | STRING | 1 | tokenizer.ggml.pre | `default` | | 30 | [STRING] | 262144 | tokenizer.ggml.tokens | [ ``, ``, ``, ``, ``, ... ] | | 31 | [FLOAT32] | 262144 | tokenizer.ggml.scores | [ -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, -1000.0, ... ] | | 32 | [INT32] | 262144 | tokenizer.ggml.token_type | [ 3, 3, 3, 3, 3, 4, 3, ... ] | | 33 | UINT32 | 1 | tokenizer.ggml.bos_token_id | 2 | | 34 | UINT32 | 1 | tokenizer.ggml.eos_token_id | 1 | | 35 | UINT32 | 1 | tokenizer.ggml.unknown_token_id | 3 | | 36 | UINT32 | 1 | tokenizer.ggml.padding_token_id | 0 | | 37 | BOOL | 1 | tokenizer.ggml.add_bos_token | True | | 38 | BOOL | 1 | tokenizer.ggml.add_eos_token | False | | 39 | STRING | 1 | tokenizer.chat_template | `{{ bos_token }}{%- if message`...`_turn>model'}}{%- endif -%}` | | 40 | BOOL | 1 | tokenizer.ggml.add_space_prefix | False | | 41 | UINT32 | 1 | general.quantization_version | 2 | | 42 | UINT32 | 1 | general.file_type | 26 | | 43 | BOOL | 1 | general.pruned | True | | 44 | UINT32 | 1 | gemma3.block_count | 46 | | 45 | STRING | 1 | quantize.imatrix.file | `./imatrix/imatrix-gemma-3-12b-it-small.dat` | | 46 | STRING | 1 | quantize.imatrix.dataset | `../../datasets/imatrix/combined_eur_small.txt` | | 47 | INT32 | 1 | quantize.imatrix.entries_count | 336 | | 48 | INT32 | 1 | quantize.imatrix.chunks_count | 3226 | ## Tensors Overview ~11B Elements Total number of elements in all tensors: 11317490432 Elements - [gemma-3-12b-it-IQ3\_S.gguf - GGUF Internal File Dump](#gemma-3-12b-it-iq3_sgguf---gguf-internal-file-dump) - [Key Value Metadata Store](#key-value-metadata-store) - [Tensors Overview ~11B Elements](#tensors-overview-11b-elements) - [Tensor Data Offset](#tensor-data-offset) - [Base Tensor Group : ~1B Elements](#base-tensor-group--1b-elements) - [Block 0 Tensor Group : ~224M Elements](#block-0-tensor-group--224m-elements) - [Block 1 Tensor Group : ~224M Elements](#block-1-tensor-group--224m-elements) - [Block 2 Tensor Group : ~224M Elements](#block-2-tensor-group--224m-elements) - [Block 3 Tensor Group : ~224M Elements](#block-3-tensor-group--224m-elements) - [Block 4 Tensor Group : ~224M Elements](#block-4-tensor-group--224m-elements) - [Block 5 Tensor Group : ~224M Elements](#block-5-tensor-group--224m-elements) - [Block 6 Tensor Group : ~224M Elements](#block-6-tensor-group--224m-elements) - [Block 7 Tensor Group : ~224M Elements](#block-7-tensor-group--224m-elements) - [Block 8 Tensor Group : ~224M Elements](#block-8-tensor-group--224m-elements) - [Block 9 Tensor Group : ~224M Elements](#block-9-tensor-group--224m-elements) - [Block 10 Tensor Group : ~224M Elements](#block-10-tensor-group--224m-elements) - [Block 11 Tensor Group : ~224M Elements](#block-11-tensor-group--224m-elements) - [Block 12 Tensor Group : ~224M Elements](#block-12-tensor-group--224m-elements) - [Block 13 Tensor Group : ~224M Elements](#block-13-tensor-group--224m-elements) - [Block 14 Tensor Group : ~224M Elements](#block-14-tensor-group--224m-elements) - [Block 15 Tensor Group : ~224M Elements](#block-15-tensor-group--224m-elements) - [Block 16 Tensor Group : ~224M Elements](#block-16-tensor-group--224m-elements) - [Block 17 Tensor Group : ~224M Elements](#block-17-tensor-group--224m-elements) - [Block 18 Tensor Group : ~224M Elements](#block-18-tensor-group--224m-elements) - [Block 19 Tensor Group : ~224M Elements](#block-19-tensor-group--224m-elements) - [Block 20 Tensor Group : ~224M Elements](#block-20-tensor-group--224m-elements) - [Block 21 Tensor Group : ~224M Elements](#block-21-tensor-group--224m-elements) - [Block 22 Tensor Group : ~224M Elements](#block-22-tensor-group--224m-elements) - [Block 23 Tensor Group : ~224M Elements](#block-23-tensor-group--224m-elements) - [Block 24 Tensor Group : ~224M Elements](#block-24-tensor-group--224m-elements) - [Block 25 Tensor Group : ~224M Elements](#block-25-tensor-group--224m-elements) - [Block 26 Tensor Group : ~224M Elements](#block-26-tensor-group--224m-elements) - [Block 27 Tensor Group : ~224M Elements](#block-27-tensor-group--224m-elements) - [Block 28 Tensor Group : ~224M Elements](#block-28-tensor-group--224m-elements) - [Block 29 Tensor Group : ~224M Elements](#block-29-tensor-group--224m-elements) - [Block 30 Tensor Group : ~224M Elements](#block-30-tensor-group--224m-elements) - [Block 31 Tensor Group : ~224M Elements](#block-31-tensor-group--224m-elements) - [Block 32 Tensor Group : ~224M Elements](#block-32-tensor-group--224m-elements) - [Block 33 Tensor Group : ~224M Elements](#block-33-tensor-group--224m-elements) - [Block 34 Tensor Group : ~224M Elements](#block-34-tensor-group--224m-elements) - [Block 35 Tensor Group : ~224M Elements](#block-35-tensor-group--224m-elements) - [Block 36 Tensor Group : ~224M Elements](#block-36-tensor-group--224m-elements) - [Block 37 Tensor Group : ~224M Elements](#block-37-tensor-group--224m-elements) - [Block 38 Tensor Group : ~224M Elements](#block-38-tensor-group--224m-elements) - [Block 39 Tensor Group : ~224M Elements](#block-39-tensor-group--224m-elements) - [Block 40 Tensor Group : ~224M Elements](#block-40-tensor-group--224m-elements) - [Block 41 Tensor Group : ~224M Elements](#block-41-tensor-group--224m-elements) - [Block 42 Tensor Group : ~224M Elements](#block-42-tensor-group--224m-elements) - [Block 43 Tensor Group : ~224M Elements](#block-43-tensor-group--224m-elements) - [Block 44 Tensor Group : ~224M Elements](#block-44-tensor-group--224m-elements) - [Block 45 Tensor Group : ~224M Elements](#block-45-tensor-group--224m-elements) ### Tensor Data Offset This table contains the offset and data segment relative to start of file | T_ID | Tensor Layer Name | Data Offset (B) | Data Size (B) | |-----:|:----------------------------------|-----------------:|-----------------:| | 0 | output_norm.weight | 0x63ee20 | 0x3c00 | | 1 | token_embd.weight | 0x642a20 | 0x16f80000 | | 2 | blk.0.attn_k.weight | 0x175c2a20 | 0x339000 | | 3 | blk.0.attn_k_norm.weight | 0x178fba20 | 0x400 | | 4 | blk.0.attn_norm.weight | 0x178fbe20 | 0x3c00 | | 5 | blk.0.attn_output.weight | 0x178ffa20 | 0x672000 | | 6 | blk.0.attn_q.weight | 0x17f71a20 | 0x672000 | | 7 | blk.0.attn_q_norm.weight | 0x185e3a20 | 0x400 | | 8 | blk.0.attn_v.weight | 0x185e3e20 | 0x339000 | | 9 | blk.0.ffn_down.weight | 0x1891ce20 | 0x1fa4000 | | 10 | blk.0.ffn_gate.weight | 0x1a8c0e20 | 0x182b800 | | 11 | blk.0.ffn_norm.weight | 0x1c0ec620 | 0x3c00 | | 12 | blk.0.ffn_up.weight | 0x1c0f0220 | 0x182b800 | | 13 | blk.0.post_attention_norm.weight | 0x1d91ba20 | 0x3c00 | | 14 | blk.0.post_ffw_norm.weight | 0x1d91f620 | 0x3c00 | | 15 | blk.1.attn_k.weight | 0x1d923220 | 0x339000 | | 16 | blk.1.attn_k_norm.weight | 0x1dc5c220 | 0x400 | | 17 | blk.1.attn_norm.weight | 0x1dc5c620 | 0x3c00 | | 18 | blk.1.attn_output.weight | 0x1dc60220 | 0x672000 | | 19 | blk.1.attn_q.weight | 0x1e2d2220 | 0x672000 | | 20 | blk.1.attn_q_norm.weight | 0x1e944220 | 0x400 | | 21 | blk.1.attn_v.weight | 0x1e944620 | 0x339000 | | 22 | blk.1.ffn_down.weight | 0x1ec7d620 | 0x1fa4000 | | 23 | blk.1.ffn_gate.weight | 0x20c21620 | 0x182b800 | | 24 | blk.1.ffn_norm.weight | 0x2244ce20 | 0x3c00 | | 25 | blk.1.ffn_up.weight | 0x22450a20 | 0x182b800 | | 26 | blk.1.post_attention_norm.weight | 0x23c7c220 | 0x3c00 | | 27 | blk.1.post_ffw_norm.weight | 0x23c7fe20 | 0x3c00 | | 28 | blk.2.attn_k.weight | 0x23c83a20 | 0x339000 | | 29 | blk.2.attn_k_norm.weight | 0x23fbca20 | 0x400 | | 30 | blk.2.attn_norm.weight | 0x23fbce20 | 0x3c00 | | 31 | blk.2.attn_output.weight | 0x23fc0a20 | 0x672000 | | 32 | blk.2.attn_q.weight | 0x24632a20 | 0x672000 | | 33 | blk.2.attn_q_norm.weight | 0x24ca4a20 | 0x400 | | 34 | blk.2.attn_v.weight | 0x24ca4e20 | 0x339000 | | 35 | blk.2.ffn_down.weight | 0x24fdde20 | 0x1fa4000 | | 36 | blk.2.ffn_gate.weight | 0x26f81e20 | 0x182b800 | | 37 | blk.2.ffn_norm.weight | 0x287ad620 | 0x3c00 | | 38 | blk.2.ffn_up.weight | 0x287b1220 | 0x182b800 | | 39 | blk.2.post_attention_norm.weight | 0x29fdca20 | 0x3c00 | | 40 | blk.2.post_ffw_norm.weight | 0x29fe0620 | 0x3c00 | | 41 | blk.3.attn_k.weight | 0x29fe4220 | 0x339000 | | 42 | blk.3.attn_k_norm.weight | 0x2a31d220 | 0x400 | | 43 | blk.3.attn_norm.weight | 0x2a31d620 | 0x3c00 | | 44 | blk.3.attn_output.weight | 0x2a321220 | 0x672000 | | 45 | blk.3.attn_q.weight | 0x2a993220 | 0x672000 | | 46 | blk.3.attn_q_norm.weight | 0x2b005220 | 0x400 | | 47 | blk.3.attn_v.weight | 0x2b005620 | 0x339000 | | 48 | blk.3.ffn_down.weight | 0x2b33e620 | 0x1fa4000 | | 49 | blk.3.ffn_gate.weight | 0x2d2e2620 | 0x182b800 | | 50 | blk.3.ffn_norm.weight | 0x2eb0de20 | 0x3c00 | | 51 | blk.3.ffn_up.weight | 0x2eb11a20 | 0x182b800 | | 52 | blk.3.post_attention_norm.weight | 0x3033d220 | 0x3c00 | | 53 | blk.3.post_ffw_norm.weight | 0x30340e20 | 0x3c00 | | 54 | blk.4.attn_k.weight | 0x30344a20 | 0x339000 | | 55 | blk.4.attn_k_norm.weight | 0x3067da20 | 0x400 | | 56 | blk.4.attn_norm.weight | 0x3067de20 | 0x3c00 | | 57 | blk.4.attn_output.weight | 0x30681a20 | 0x672000 | | 58 | blk.4.attn_q.weight | 0x30cf3a20 | 0x672000 | | 59 | blk.4.attn_q_norm.weight | 0x31365a20 | 0x400 | | 60 | blk.4.attn_v.weight | 0x31365e20 | 0x339000 | | 61 | blk.4.ffn_down.weight | 0x3169ee20 | 0x1fa4000 | | 62 | blk.4.ffn_gate.weight | 0x33642e20 | 0x182b800 | | 63 | blk.4.ffn_norm.weight | 0x34e6e620 | 0x3c00 | | 64 | blk.4.ffn_up.weight | 0x34e72220 | 0x182b800 | | 65 | blk.4.post_attention_norm.weight | 0x3669da20 | 0x3c00 | | 66 | blk.4.post_ffw_norm.weight | 0x366a1620 | 0x3c00 | | 67 | blk.5.attn_k.weight | 0x366a5220 | 0x339000 | | 68 | blk.5.attn_k_norm.weight | 0x369de220 | 0x400 | | 69 | blk.5.attn_norm.weight | 0x369de620 | 0x3c00 | | 70 | blk.5.attn_output.weight | 0x369e2220 | 0x672000 | | 71 | blk.5.attn_q.weight | 0x37054220 | 0x672000 | | 72 | blk.5.attn_q_norm.weight | 0x376c6220 | 0x400 | | 73 | blk.5.attn_v.weight | 0x376c6620 | 0x339000 | | 74 | blk.5.ffn_down.weight | 0x379ff620 | 0x1fa4000 | | 75 | blk.5.ffn_gate.weight | 0x399a3620 | 0x182b800 | | 76 | blk.5.ffn_norm.weight | 0x3b1cee20 | 0x3c00 | | 77 | blk.5.ffn_up.weight | 0x3b1d2a20 | 0x182b800 | | 78 | blk.5.post_attention_norm.weight | 0x3c9fe220 | 0x3c00 | | 79 | blk.5.post_ffw_norm.weight | 0x3ca01e20 | 0x3c00 | | 80 | blk.6.attn_k.weight | 0x3ca05a20 | 0x339000 | | 81 | blk.6.attn_k_norm.weight | 0x3cd3ea20 | 0x400 | | 82 | blk.6.attn_norm.weight | 0x3cd3ee20 | 0x3c00 | | 83 | blk.6.attn_output.weight | 0x3cd42a20 | 0x672000 | | 84 | blk.6.attn_q.weight | 0x3d3b4a20 | 0x672000 | | 85 | blk.6.attn_q_norm.weight | 0x3da26a20 | 0x400 | | 86 | blk.6.attn_v.weight | 0x3da26e20 | 0x339000 | | 87 | blk.6.ffn_down.weight | 0x3dd5fe20 | 0x1fa4000 | | 88 | blk.6.ffn_gate.weight | 0x3fd03e20 | 0x182b800 | | 89 | blk.6.ffn_norm.weight | 0x4152f620 | 0x3c00 | | 90 | blk.6.ffn_up.weight | 0x41533220 | 0x182b800 | | 91 | blk.6.post_attention_norm.weight | 0x42d5ea20 | 0x3c00 | | 92 | blk.6.post_ffw_norm.weight | 0x42d62620 | 0x3c00 | | 93 | blk.7.attn_k.weight | 0x42d66220 | 0x339000 | | 94 | blk.7.attn_k_norm.weight | 0x4309f220 | 0x400 | | 95 | blk.7.attn_norm.weight | 0x4309f620 | 0x3c00 | | 96 | blk.7.attn_output.weight | 0x430a3220 | 0x672000 | | 97 | blk.7.attn_q.weight | 0x43715220 | 0x672000 | | 98 | blk.7.attn_q_norm.weight | 0x43d87220 | 0x400 | | 99 | blk.7.attn_v.weight | 0x43d87620 | 0x339000 | | 100 | blk.7.ffn_down.weight | 0x440c0620 | 0x1fa4000 | | 101 | blk.7.ffn_gate.weight | 0x46064620 | 0x182b800 | | 102 | blk.7.ffn_norm.weight | 0x4788fe20 | 0x3c00 | | 103 | blk.7.ffn_up.weight | 0x47893a20 | 0x182b800 | | 104 | blk.7.post_attention_norm.weight | 0x490bf220 | 0x3c00 | | 105 | blk.7.post_ffw_norm.weight | 0x490c2e20 | 0x3c00 | | 106 | blk.8.attn_k.weight | 0x490c6a20 | 0x339000 | | 107 | blk.8.attn_k_norm.weight | 0x493ffa20 | 0x400 | | 108 | blk.8.attn_norm.weight | 0x493ffe20 | 0x3c00 | | 109 | blk.8.attn_output.weight | 0x49403a20 | 0x672000 | | 110 | blk.8.attn_q.weight | 0x49a75a20 | 0x672000 | | 111 | blk.8.attn_q_norm.weight | 0x4a0e7a20 | 0x400 | | 112 | blk.8.attn_v.weight | 0x4a0e7e20 | 0x339000 | | 113 | blk.8.ffn_down.weight | 0x4a420e20 | 0x1fa4000 | | 114 | blk.8.ffn_gate.weight | 0x4c3c4e20 | 0x182b800 | | 115 | blk.8.ffn_norm.weight | 0x4dbf0620 | 0x3c00 | | 116 | blk.8.ffn_up.weight | 0x4dbf4220 | 0x182b800 | | 117 | blk.8.post_attention_norm.weight | 0x4f41fa20 | 0x3c00 | | 118 | blk.8.post_ffw_norm.weight | 0x4f423620 | 0x3c00 | | 119 | blk.9.attn_k.weight | 0x4f427220 | 0x339000 | | 120 | blk.9.attn_k_norm.weight | 0x4f760220 | 0x400 | | 121 | blk.9.attn_norm.weight | 0x4f760620 | 0x3c00 | | 122 | blk.9.attn_output.weight | 0x4f764220 | 0x672000 | | 123 | blk.9.attn_q.weight | 0x4fdd6220 | 0x672000 | | 124 | blk.9.attn_q_norm.weight | 0x50448220 | 0x400 | | 125 | blk.9.attn_v.weight | 0x50448620 | 0x339000 | | 126 | blk.9.ffn_down.weight | 0x50781620 | 0x1fa4000 | | 127 | blk.9.ffn_gate.weight | 0x52725620 | 0x182b800 | | 128 | blk.9.ffn_norm.weight | 0x53f50e20 | 0x3c00 | | 129 | blk.9.ffn_up.weight | 0x53f54a20 | 0x182b800 | | 130 | blk.9.post_attention_norm.weight | 0x55780220 | 0x3c00 | | 131 | blk.9.post_ffw_norm.weight | 0x55783e20 | 0x3c00 | | 132 | blk.10.attn_k.weight | 0x55787a20 | 0x339000 | | 133 | blk.10.attn_k_norm.weight | 0x55ac0a20 | 0x400 | | 134 | blk.10.attn_norm.weight | 0x55ac0e20 | 0x3c00 | | 135 | blk.10.attn_output.weight | 0x55ac4a20 | 0x672000 | | 136 | blk.10.attn_q.weight | 0x56136a20 | 0x672000 | | 137 | blk.10.attn_q_norm.weight | 0x567a8a20 | 0x400 | | 138 | blk.10.attn_v.weight | 0x567a8e20 | 0x339000 | | 139 | blk.10.ffn_down.weight | 0x56ae1e20 | 0x1fa4000 | | 140 | blk.10.ffn_gate.weight | 0x58a85e20 | 0x182b800 | | 141 | blk.10.ffn_norm.weight | 0x5a2b1620 | 0x3c00 | | 142 | blk.10.ffn_up.weight | 0x5a2b5220 | 0x182b800 | | 143 | blk.10.post_attention_norm.weight | 0x5bae0a20 | 0x3c00 | | 144 | blk.10.post_ffw_norm.weight | 0x5bae4620 | 0x3c00 | | 145 | blk.11.attn_k.weight | 0x5bae8220 | 0x2df000 | | 146 | blk.11.attn_k_norm.weight | 0x5bdc7220 | 0x400 | | 147 | blk.11.attn_norm.weight | 0x5bdc7620 | 0x3c00 | | 148 | blk.11.attn_output.weight | 0x5bdcb220 | 0x672000 | | 149 | blk.11.attn_q.weight | 0x5c43d220 | 0x5be000 | | 150 | blk.11.attn_q_norm.weight | 0x5c9fb220 | 0x400 | | 151 | blk.11.attn_v.weight | 0x5c9fb620 | 0x339000 | | 152 | blk.11.ffn_down.weight | 0x5cd34620 | 0x1fa4000 | | 153 | blk.11.ffn_gate.weight | 0x5ecd8620 | 0x1588800 | | 154 | blk.11.ffn_norm.weight | 0x60260e20 | 0x3c00 | | 155 | blk.11.ffn_up.weight | 0x60264a20 | 0x1588800 | | 156 | blk.11.post_attention_norm.weight | 0x617ed220 | 0x3c00 | | 157 | blk.11.post_ffw_norm.weight | 0x617f0e20 | 0x3c00 | | 158 | blk.12.attn_k.weight | 0x617f4a20 | 0x2df000 | | 159 | blk.12.attn_k_norm.weight | 0x61ad3a20 | 0x400 | | 160 | blk.12.attn_norm.weight | 0x61ad3e20 | 0x3c00 | | 161 | blk.12.attn_output.weight | 0x61ad7a20 | 0x672000 | | 162 | blk.12.attn_q.weight | 0x62149a20 | 0x5be000 | | 163 | blk.12.attn_q_norm.weight | 0x62707a20 | 0x400 | | 164 | blk.12.attn_v.weight | 0x62707e20 | 0x339000 | | 165 | blk.12.ffn_down.weight | 0x62a40e20 | 0x1fa4000 | | 166 | blk.12.ffn_gate.weight | 0x649e4e20 | 0x1588800 | | 167 | blk.12.ffn_norm.weight | 0x65f6d620 | 0x3c00 | | 168 | blk.12.ffn_up.weight | 0x65f71220 | 0x1588800 | | 169 | blk.12.post_attention_norm.weight | 0x674f9a20 | 0x3c00 | | 170 | blk.12.post_ffw_norm.weight | 0x674fd620 | 0x3c00 | | 171 | blk.13.attn_k.weight | 0x67501220 | 0x2df000 | | 172 | blk.13.attn_k_norm.weight | 0x677e0220 | 0x400 | | 173 | blk.13.attn_norm.weight | 0x677e0620 | 0x3c00 | | 174 | blk.13.attn_output.weight | 0x677e4220 | 0x672000 | | 175 | blk.13.attn_q.weight | 0x67e56220 | 0x5be000 | | 176 | blk.13.attn_q_norm.weight | 0x68414220 | 0x400 | | 177 | blk.13.attn_v.weight | 0x68414620 | 0x339000 | | 178 | blk.13.ffn_down.weight | 0x6874d620 | 0x1fa4000 | | 179 | blk.13.ffn_gate.weight | 0x6a6f1620 | 0x1588800 | | 180 | blk.13.ffn_norm.weight | 0x6bc79e20 | 0x3c00 | | 181 | blk.13.ffn_up.weight | 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blk.32.attn_v.weight | 0xd800be20 | 0x339000 | | 425 | blk.32.ffn_down.weight | 0xd8344e20 | 0x1fa4000 | | 426 | blk.32.ffn_gate.weight | 0xda2e8e20 | 0x182b800 | | 427 | blk.32.ffn_norm.weight | 0xdbb14620 | 0x3c00 | | 428 | blk.32.ffn_up.weight | 0xdbb18220 | 0x182b800 | | 429 | blk.32.post_attention_norm.weight | 0xdd343a20 | 0x3c00 | | 430 | blk.32.post_ffw_norm.weight | 0xdd347620 | 0x3c00 | | 431 | blk.33.attn_k.weight | 0xdd34b220 | 0x339000 | | 432 | blk.33.attn_k_norm.weight | 0xdd684220 | 0x400 | | 433 | blk.33.attn_norm.weight | 0xdd684620 | 0x3c00 | | 434 | blk.33.attn_output.weight | 0xdd688220 | 0x672000 | | 435 | blk.33.attn_q.weight | 0xddcfa220 | 0x672000 | | 436 | blk.33.attn_q_norm.weight | 0xde36c220 | 0x400 | | 437 | blk.33.attn_v.weight | 0xde36c620 | 0x339000 | | 438 | blk.33.ffn_down.weight | 0xde6a5620 | 0x1fa4000 | | 439 | blk.33.ffn_gate.weight | 0xe0649620 | 0x182b800 | | 440 | blk.33.ffn_norm.weight | 0xe1e74e20 | 0x3c00 | | 441 | blk.33.ffn_up.weight | 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blk.36.attn_v.weight | 0xf0739e20 | 0x339000 | | 477 | blk.36.ffn_down.weight | 0xf0a72e20 | 0x1fa4000 | | 478 | blk.36.ffn_gate.weight | 0xf2a16e20 | 0x182b800 | | 479 | blk.36.ffn_norm.weight | 0xf4242620 | 0x3c00 | | 480 | blk.36.ffn_up.weight | 0xf4246220 | 0x182b800 | | 481 | blk.36.post_attention_norm.weight | 0xf5a71a20 | 0x3c00 | | 482 | blk.36.post_ffw_norm.weight | 0xf5a75620 | 0x3c00 | | 483 | blk.37.attn_k.weight | 0xf5a79220 | 0x339000 | | 484 | blk.37.attn_k_norm.weight | 0xf5db2220 | 0x400 | | 485 | blk.37.attn_norm.weight | 0xf5db2620 | 0x3c00 | | 486 | blk.37.attn_output.weight | 0xf5db6220 | 0x672000 | | 487 | blk.37.attn_q.weight | 0xf6428220 | 0x672000 | | 488 | blk.37.attn_q_norm.weight | 0xf6a9a220 | 0x400 | | 489 | blk.37.attn_v.weight | 0xf6a9a620 | 0x339000 | | 490 | blk.37.ffn_down.weight | 0xf6dd3620 | 0x1fa4000 | | 491 | blk.37.ffn_gate.weight | 0xf8d77620 | 0x182b800 | | 492 | blk.37.ffn_norm.weight | 0xfa5a2e20 | 0x3c00 | | 493 | blk.37.ffn_up.weight | 0xfa5a6a20 | 0x182b800 | | 494 | blk.37.post_attention_norm.weight | 0xfbdd2220 | 0x3c00 | | 495 | blk.37.post_ffw_norm.weight | 0xfbdd5e20 | 0x3c00 | | 496 | blk.38.attn_k.weight | 0xfbdd9a20 | 0x339000 | | 497 | blk.38.attn_k_norm.weight | 0xfc112a20 | 0x400 | | 498 | blk.38.attn_norm.weight | 0xfc112e20 | 0x3c00 | | 499 | blk.38.attn_output.weight | 0xfc116a20 | 0x672000 | | 500 | blk.38.attn_q.weight | 0xfc788a20 | 0x672000 | | 501 | blk.38.attn_q_norm.weight | 0xfcdfaa20 | 0x400 | | 502 | blk.38.attn_v.weight | 0xfcdfae20 | 0x339000 | | 503 | blk.38.ffn_down.weight | 0xfd133e20 | 0x1fa4000 | | 504 | blk.38.ffn_gate.weight | 0xff0d7e20 | 0x182b800 | | 505 | blk.38.ffn_norm.weight | 0x100903620 | 0x3c00 | | 506 | blk.38.ffn_up.weight | 0x100907220 | 0x182b800 | | 507 | blk.38.post_attention_norm.weight | 0x102132a20 | 0x3c00 | | 508 | blk.38.post_ffw_norm.weight | 0x102136620 | 0x3c00 | | 509 | blk.39.attn_k.weight | 0x10213a220 | 0x339000 | | 510 | blk.39.attn_k_norm.weight | 0x102473220 | 0x400 | | 511 | blk.39.attn_norm.weight | 0x102473620 | 0x3c00 | | 512 | blk.39.attn_output.weight | 0x102477220 | 0x672000 | | 513 | blk.39.attn_q.weight | 0x102ae9220 | 0x672000 | | 514 | blk.39.attn_q_norm.weight | 0x10315b220 | 0x400 | | 515 | blk.39.attn_v.weight | 0x10315b620 | 0x339000 | | 516 | blk.39.ffn_down.weight | 0x103494620 | 0x1fa4000 | | 517 | blk.39.ffn_gate.weight | 0x105438620 | 0x182b800 | | 518 | blk.39.ffn_norm.weight | 0x106c63e20 | 0x3c00 | | 519 | blk.39.ffn_up.weight | 0x106c67a20 | 0x182b800 | | 520 | blk.39.post_attention_norm.weight | 0x108493220 | 0x3c00 | | 521 | blk.39.post_ffw_norm.weight | 0x108496e20 | 0x3c00 | | 522 | blk.40.attn_k.weight | 0x10849aa20 | 0x339000 | | 523 | blk.40.attn_k_norm.weight | 0x1087d3a20 | 0x400 | | 524 | blk.40.attn_norm.weight | 0x1087d3e20 | 0x3c00 | | 525 | blk.40.attn_output.weight | 0x1087d7a20 | 0x672000 | | 526 | blk.40.attn_q.weight | 0x108e49a20 | 0x672000 | | 527 | blk.40.attn_q_norm.weight | 0x1094bba20 | 0x400 | | 528 | blk.40.attn_v.weight | 0x1094bbe20 | 0x339000 | | 529 | blk.40.ffn_down.weight | 0x1097f4e20 | 0x1fa4000 | | 530 | blk.40.ffn_gate.weight | 0x10b798e20 | 0x182b800 | | 531 | blk.40.ffn_norm.weight | 0x10cfc4620 | 0x3c00 | | 532 | blk.40.ffn_up.weight | 0x10cfc8220 | 0x182b800 | | 533 | blk.40.post_attention_norm.weight | 0x10e7f3a20 | 0x3c00 | | 534 | blk.40.post_ffw_norm.weight | 0x10e7f7620 | 0x3c00 | | 535 | blk.41.attn_k.weight | 0x10e7fb220 | 0x2df000 | | 536 | blk.41.attn_k_norm.weight | 0x10eada220 | 0x400 | | 537 | blk.41.attn_norm.weight | 0x10eada620 | 0x3c00 | | 538 | blk.41.attn_output.weight | 0x10eade220 | 0x672000 | | 539 | blk.41.attn_q.weight | 0x10f150220 | 0x5be000 | | 540 | blk.41.attn_q_norm.weight | 0x10f70e220 | 0x400 | | 541 | blk.41.attn_v.weight | 0x10f70e620 | 0x339000 | | 542 | blk.41.ffn_down.weight | 0x10fa47620 | 0x1fa4000 | | 543 | blk.41.ffn_gate.weight | 0x1119eb620 | 0x1588800 | | 544 | blk.41.ffn_norm.weight | 0x112f73e20 | 0x3c00 | | 545 | blk.41.ffn_up.weight | 0x112f77a20 | 0x1588800 | | 546 | blk.41.post_attention_norm.weight | 0x114500220 | 0x3c00 | | 547 | blk.41.post_ffw_norm.weight | 0x114503e20 | 0x3c00 | | 548 | blk.42.attn_k.weight | 0x114507a20 | 0x2df000 | | 549 | blk.42.attn_k_norm.weight | 0x1147e6a20 | 0x400 | | 550 | blk.42.attn_norm.weight | 0x1147e6e20 | 0x3c00 | | 551 | blk.42.attn_output.weight | 0x1147eaa20 | 0x672000 | | 552 | blk.42.attn_q.weight | 0x114e5ca20 | 0x5be000 | | 553 | blk.42.attn_q_norm.weight | 0x11541aa20 | 0x400 | | 554 | blk.42.attn_v.weight | 0x11541ae20 | 0x339000 | | 555 | blk.42.ffn_down.weight | 0x115753e20 | 0x1fa4000 | | 556 | blk.42.ffn_gate.weight | 0x1176f7e20 | 0x1588800 | | 557 | blk.42.ffn_norm.weight | 0x118c80620 | 0x3c00 | | 558 | blk.42.ffn_up.weight | 0x118c84220 | 0x1588800 | | 559 | blk.42.post_attention_norm.weight | 0x11a20ca20 | 0x3c00 | | 560 | blk.42.post_ffw_norm.weight | 0x11a210620 | 0x3c00 | | 561 | blk.43.attn_k.weight | 0x11a214220 | 0x2df000 | | 562 | blk.43.attn_k_norm.weight | 0x11a4f3220 | 0x400 | | 563 | blk.43.attn_norm.weight | 0x11a4f3620 | 0x3c00 | | 564 | blk.43.attn_output.weight | 0x11a4f7220 | 0x672000 | | 565 | blk.43.attn_q.weight | 0x11ab69220 | 0x5be000 | | 566 | blk.43.attn_q_norm.weight | 0x11b127220 | 0x400 | | 567 | blk.43.attn_v.weight | 0x11b127620 | 0x339000 | | 568 | blk.43.ffn_down.weight | 0x11b460620 | 0x1fa4000 | | 569 | blk.43.ffn_gate.weight | 0x11d404620 | 0x1588800 | | 570 | blk.43.ffn_norm.weight | 0x11e98ce20 | 0x3c00 | | 571 | blk.43.ffn_up.weight | 0x11e990a20 | 0x1588800 | | 572 | blk.43.post_attention_norm.weight | 0x11ff19220 | 0x3c00 | | 573 | blk.43.post_ffw_norm.weight | 0x11ff1ce20 | 0x3c00 | | 574 | blk.44.attn_k.weight | 0x11ff20a20 | 0x339000 | | 575 | blk.44.attn_k_norm.weight | 0x120259a20 | 0x400 | | 576 | blk.44.attn_norm.weight | 0x120259e20 | 0x3c00 | | 577 | blk.44.attn_output.weight | 0x12025da20 | 0x672000 | | 578 | blk.44.attn_q.weight | 0x1208cfa20 | 0x672000 | | 579 | blk.44.attn_q_norm.weight | 0x120f41a20 | 0x400 | | 580 | blk.44.attn_v.weight | 0x120f41e20 | 0x339000 | | 581 | blk.44.ffn_down.weight | 0x12127ae20 | 0x1fa4000 | | 582 | blk.44.ffn_gate.weight | 0x12321ee20 | 0x182b800 | | 583 | blk.44.ffn_norm.weight | 0x124a4a620 | 0x3c00 | | 584 | blk.44.ffn_up.weight | 0x124a4e220 | 0x182b800 | | 585 | blk.44.post_attention_norm.weight | 0x126279a20 | 0x3c00 | | 586 | blk.44.post_ffw_norm.weight | 0x12627d620 | 0x3c00 | | 587 | blk.45.attn_k.weight | 0x126281220 | 0x339000 | | 588 | blk.45.attn_k_norm.weight | 0x1265ba220 | 0x400 | | 589 | blk.45.attn_norm.weight | 0x1265ba620 | 0x3c00 | | 590 | blk.45.attn_output.weight | 0x1265be220 | 0x672000 | | 591 | blk.45.attn_q.weight | 0x126c30220 | 0x672000 | | 592 | blk.45.attn_q_norm.weight | 0x1272a2220 | 0x400 | | 593 | blk.45.attn_v.weight | 0x1272a2620 | 0x339000 | | 594 | blk.45.ffn_down.weight | 0x1275db620 | 0x1fa4000 | | 595 | blk.45.ffn_gate.weight | 0x12957f620 | 0x182b800 | | 596 | blk.45.ffn_norm.weight | 0x12adaae20 | 0x3c00 | | 597 | blk.45.ffn_up.weight | 0x12adaea20 | 0x182b800 | | 598 | blk.45.post_attention_norm.weight | 0x12c5da220 | 0x3c00 | | 599 | blk.45.post_ffw_norm.weight | 0x12c5dde20 | 0x3c00 | ### Base Tensor Group : ~1B Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:-------------------|:---------------------------------|:-----------------|:----------------------|:--------| | 0 | output_norm.weight | Output Normalization (W) | (~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 1 | token_embd.weight | Token Embedding (W) | (~1B) 1006632960 | 3840 x 262144 x 1 x 1 | IQ3_XXS | - Total elements in base: ( ~1B) 1006636800 - Percentage of total elements: 8.89% ### Block 0 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 2 | blk.0.attn_k.weight | Block 0 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 3 | blk.0.attn_k_norm.weight | Block 0 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 4 | blk.0.attn_norm.weight | Block 0 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 5 | blk.0.attn_output.weight | Block 0 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 7 | blk.0.attn_q_norm.weight | Block 0 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 8 | blk.0.attn_v.weight | Block 0 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 9 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 10 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 11 | blk.0.ffn_norm.weight | Block 0 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 12 | blk.0.ffn_up.weight | Block 0 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 13 | blk.0.post_attention_norm.weight | Block 0 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 14 | blk.0.post_ffw_norm.weight | Block 0 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.0: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 1 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 15 | blk.1.attn_k.weight | Block 1 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 16 | blk.1.attn_k_norm.weight | Block 1 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 17 | blk.1.attn_norm.weight | Block 1 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 18 | blk.1.attn_output.weight | Block 1 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 19 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 20 | blk.1.attn_q_norm.weight | Block 1 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 21 | blk.1.attn_v.weight | Block 1 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 22 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 23 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 24 | blk.1.ffn_norm.weight | Block 1 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 25 | blk.1.ffn_up.weight | Block 1 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 26 | blk.1.post_attention_norm.weight | Block 1 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 27 | blk.1.post_ffw_norm.weight | Block 1 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.1: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 2 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 28 | blk.2.attn_k.weight | Block 2 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 29 | blk.2.attn_k_norm.weight | Block 2 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 30 | blk.2.attn_norm.weight | Block 2 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 31 | blk.2.attn_output.weight | Block 2 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 33 | blk.2.attn_q_norm.weight | Block 2 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 34 | blk.2.attn_v.weight | Block 2 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 37 | blk.2.ffn_norm.weight | Block 2 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 38 | blk.2.ffn_up.weight | Block 2 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 39 | blk.2.post_attention_norm.weight | Block 2 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 40 | blk.2.post_ffw_norm.weight | Block 2 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.2: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 3 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 41 | blk.3.attn_k.weight | Block 3 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 42 | blk.3.attn_k_norm.weight | Block 3 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 43 | blk.3.attn_norm.weight | Block 3 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 44 | blk.3.attn_output.weight | Block 3 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 45 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 46 | blk.3.attn_q_norm.weight | Block 3 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 47 | blk.3.attn_v.weight | Block 3 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 48 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 49 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 50 | blk.3.ffn_norm.weight | Block 3 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 51 | blk.3.ffn_up.weight | Block 3 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 52 | blk.3.post_attention_norm.weight | Block 3 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 53 | blk.3.post_ffw_norm.weight | Block 3 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.3: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 4 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 54 | blk.4.attn_k.weight | Block 4 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 55 | blk.4.attn_k_norm.weight | Block 4 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 56 | blk.4.attn_norm.weight | Block 4 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 57 | blk.4.attn_output.weight | Block 4 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 58 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 59 | blk.4.attn_q_norm.weight | Block 4 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 60 | blk.4.attn_v.weight | Block 4 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 61 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 62 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 63 | blk.4.ffn_norm.weight | Block 4 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 64 | blk.4.ffn_up.weight | Block 4 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 65 | blk.4.post_attention_norm.weight | Block 4 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 66 | blk.4.post_ffw_norm.weight | Block 4 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.4: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 5 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 67 | blk.5.attn_k.weight | Block 5 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 68 | blk.5.attn_k_norm.weight | Block 5 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 69 | blk.5.attn_norm.weight | Block 5 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 70 | blk.5.attn_output.weight | Block 5 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 71 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 72 | blk.5.attn_q_norm.weight | Block 5 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 73 | blk.5.attn_v.weight | Block 5 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 74 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 75 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 76 | blk.5.ffn_norm.weight | Block 5 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 77 | blk.5.ffn_up.weight | Block 5 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 78 | blk.5.post_attention_norm.weight | Block 5 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 79 | blk.5.post_ffw_norm.weight | Block 5 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.5: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 6 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 80 | blk.6.attn_k.weight | Block 6 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 81 | blk.6.attn_k_norm.weight | Block 6 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 82 | blk.6.attn_norm.weight | Block 6 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 83 | blk.6.attn_output.weight | Block 6 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 84 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 85 | blk.6.attn_q_norm.weight | Block 6 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 86 | blk.6.attn_v.weight | Block 6 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 87 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 88 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 89 | blk.6.ffn_norm.weight | Block 6 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 90 | blk.6.ffn_up.weight | Block 6 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 91 | blk.6.post_attention_norm.weight | Block 6 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 92 | blk.6.post_ffw_norm.weight | Block 6 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.6: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 7 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 93 | blk.7.attn_k.weight | Block 7 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 94 | blk.7.attn_k_norm.weight | Block 7 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 95 | blk.7.attn_norm.weight | Block 7 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 96 | blk.7.attn_output.weight | Block 7 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 97 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 98 | blk.7.attn_q_norm.weight | Block 7 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 99 | blk.7.attn_v.weight | Block 7 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 100 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 101 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 102 | blk.7.ffn_norm.weight | Block 7 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 103 | blk.7.ffn_up.weight | Block 7 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 104 | blk.7.post_attention_norm.weight | Block 7 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 105 | blk.7.post_ffw_norm.weight | Block 7 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.7: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 8 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 106 | blk.8.attn_k.weight | Block 8 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 107 | blk.8.attn_k_norm.weight | Block 8 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 108 | blk.8.attn_norm.weight | Block 8 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 109 | blk.8.attn_output.weight | Block 8 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 110 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 111 | blk.8.attn_q_norm.weight | Block 8 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 112 | blk.8.attn_v.weight | Block 8 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 113 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 114 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 115 | blk.8.ffn_norm.weight | Block 8 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 116 | blk.8.ffn_up.weight | Block 8 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 117 | blk.8.post_attention_norm.weight | Block 8 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 118 | blk.8.post_ffw_norm.weight | Block 8 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.8: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 9 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:---------------------------------|:-----------------------------------------------|:----------------|:----------------------|:-------| | 119 | blk.9.attn_k.weight | Block 9 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 120 | blk.9.attn_k_norm.weight | Block 9 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 121 | blk.9.attn_norm.weight | Block 9 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 122 | blk.9.attn_output.weight | Block 9 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 123 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 124 | blk.9.attn_q_norm.weight | Block 9 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 125 | blk.9.attn_v.weight | Block 9 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 126 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 127 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 128 | blk.9.ffn_norm.weight | Block 9 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 129 | blk.9.ffn_up.weight | Block 9 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 130 | blk.9.post_attention_norm.weight | Block 9 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 131 | blk.9.post_ffw_norm.weight | Block 9 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.9: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 10 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 132 | blk.10.attn_k.weight | Block 10 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 133 | blk.10.attn_k_norm.weight | Block 10 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 134 | blk.10.attn_norm.weight | Block 10 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 135 | blk.10.attn_output.weight | Block 10 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 136 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 137 | blk.10.attn_q_norm.weight | Block 10 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 138 | blk.10.attn_v.weight | Block 10 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 139 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 140 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 141 | blk.10.ffn_norm.weight | Block 10 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 142 | blk.10.ffn_up.weight | Block 10 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 143 | blk.10.post_attention_norm.weight | Block 10 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 144 | blk.10.post_ffw_norm.weight | Block 10 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.10: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 11 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 145 | blk.11.attn_k.weight | Block 11 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 146 | blk.11.attn_k_norm.weight | Block 11 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 147 | blk.11.attn_norm.weight | Block 11 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 148 | blk.11.attn_output.weight | Block 11 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 149 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 150 | blk.11.attn_q_norm.weight | Block 11 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 151 | blk.11.attn_v.weight | Block 11 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 152 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 153 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 154 | blk.11.ffn_norm.weight | Block 11 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 155 | blk.11.ffn_up.weight | Block 11 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 156 | blk.11.post_attention_norm.weight | Block 11 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 157 | blk.11.post_ffw_norm.weight | Block 11 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.11: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 12 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 158 | blk.12.attn_k.weight | Block 12 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 159 | blk.12.attn_k_norm.weight | Block 12 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 160 | blk.12.attn_norm.weight | Block 12 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 161 | blk.12.attn_output.weight | Block 12 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 162 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 163 | blk.12.attn_q_norm.weight | Block 12 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 164 | blk.12.attn_v.weight | Block 12 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 165 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 166 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 167 | blk.12.ffn_norm.weight | Block 12 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 168 | blk.12.ffn_up.weight | Block 12 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 169 | blk.12.post_attention_norm.weight | Block 12 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 170 | blk.12.post_ffw_norm.weight | Block 12 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.12: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 13 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 171 | blk.13.attn_k.weight | Block 13 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 172 | blk.13.attn_k_norm.weight | Block 13 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 173 | blk.13.attn_norm.weight | Block 13 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 174 | blk.13.attn_output.weight | Block 13 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 175 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 176 | blk.13.attn_q_norm.weight | Block 13 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 177 | blk.13.attn_v.weight | Block 13 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 178 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 179 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 180 | blk.13.ffn_norm.weight | Block 13 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 181 | blk.13.ffn_up.weight | Block 13 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 182 | blk.13.post_attention_norm.weight | Block 13 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 183 | blk.13.post_ffw_norm.weight | Block 13 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.13: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 14 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 184 | blk.14.attn_k.weight | Block 14 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 185 | blk.14.attn_k_norm.weight | Block 14 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 186 | blk.14.attn_norm.weight | Block 14 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 187 | blk.14.attn_output.weight | Block 14 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 188 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 189 | blk.14.attn_q_norm.weight | Block 14 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 190 | blk.14.attn_v.weight | Block 14 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 191 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 192 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 193 | blk.14.ffn_norm.weight | Block 14 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 194 | blk.14.ffn_up.weight | Block 14 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 195 | blk.14.post_attention_norm.weight | Block 14 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 196 | blk.14.post_ffw_norm.weight | Block 14 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.14: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 15 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 197 | blk.15.attn_k.weight | Block 15 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 198 | blk.15.attn_k_norm.weight | Block 15 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 199 | blk.15.attn_norm.weight | Block 15 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 200 | blk.15.attn_output.weight | Block 15 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 201 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 202 | blk.15.attn_q_norm.weight | Block 15 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 203 | blk.15.attn_v.weight | Block 15 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 204 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 205 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 206 | blk.15.ffn_norm.weight | Block 15 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 207 | blk.15.ffn_up.weight | Block 15 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 208 | blk.15.post_attention_norm.weight | Block 15 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 209 | blk.15.post_ffw_norm.weight | Block 15 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.15: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 16 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 210 | blk.16.attn_k.weight | Block 16 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 211 | blk.16.attn_k_norm.weight | Block 16 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 212 | blk.16.attn_norm.weight | Block 16 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 213 | blk.16.attn_output.weight | Block 16 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 214 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 215 | blk.16.attn_q_norm.weight | Block 16 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 216 | blk.16.attn_v.weight | Block 16 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 217 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 218 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 219 | blk.16.ffn_norm.weight | Block 16 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 220 | blk.16.ffn_up.weight | Block 16 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 221 | blk.16.post_attention_norm.weight | Block 16 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 222 | blk.16.post_ffw_norm.weight | Block 16 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.16: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 17 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 223 | blk.17.attn_k.weight | Block 17 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 224 | blk.17.attn_k_norm.weight | Block 17 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 225 | blk.17.attn_norm.weight | Block 17 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 226 | blk.17.attn_output.weight | Block 17 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 227 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 228 | blk.17.attn_q_norm.weight | Block 17 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 229 | blk.17.attn_v.weight | Block 17 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 230 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 231 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 232 | blk.17.ffn_norm.weight | Block 17 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 233 | blk.17.ffn_up.weight | Block 17 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 234 | blk.17.post_attention_norm.weight | Block 17 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 235 | blk.17.post_ffw_norm.weight | Block 17 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.17: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 18 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 236 | blk.18.attn_k.weight | Block 18 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 237 | blk.18.attn_k_norm.weight | Block 18 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 238 | blk.18.attn_norm.weight | Block 18 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 239 | blk.18.attn_output.weight | Block 18 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 240 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 241 | blk.18.attn_q_norm.weight | Block 18 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 242 | blk.18.attn_v.weight | Block 18 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 243 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 244 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 245 | blk.18.ffn_norm.weight | Block 18 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 246 | blk.18.ffn_up.weight | Block 18 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 247 | blk.18.post_attention_norm.weight | Block 18 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 248 | blk.18.post_ffw_norm.weight | Block 18 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.18: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 19 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 249 | blk.19.attn_k.weight | Block 19 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 250 | blk.19.attn_k_norm.weight | Block 19 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 251 | blk.19.attn_norm.weight | Block 19 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 252 | blk.19.attn_output.weight | Block 19 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 253 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 254 | blk.19.attn_q_norm.weight | Block 19 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 255 | blk.19.attn_v.weight | Block 19 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 256 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 257 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 258 | blk.19.ffn_norm.weight | Block 19 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 259 | blk.19.ffn_up.weight | Block 19 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 260 | blk.19.post_attention_norm.weight | Block 19 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 261 | blk.19.post_ffw_norm.weight | Block 19 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.19: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 20 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 262 | blk.20.attn_k.weight | Block 20 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 263 | blk.20.attn_k_norm.weight | Block 20 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 264 | blk.20.attn_norm.weight | Block 20 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 265 | blk.20.attn_output.weight | Block 20 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 266 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 267 | blk.20.attn_q_norm.weight | Block 20 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 268 | blk.20.attn_v.weight | Block 20 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 269 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 270 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 271 | blk.20.ffn_norm.weight | Block 20 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 272 | blk.20.ffn_up.weight | Block 20 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 273 | blk.20.post_attention_norm.weight | Block 20 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 274 | blk.20.post_ffw_norm.weight | Block 20 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.20: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 21 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 275 | blk.21.attn_k.weight | Block 21 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 276 | blk.21.attn_k_norm.weight | Block 21 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 277 | blk.21.attn_norm.weight | Block 21 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 278 | blk.21.attn_output.weight | Block 21 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 279 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 280 | blk.21.attn_q_norm.weight | Block 21 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 281 | blk.21.attn_v.weight | Block 21 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 282 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 283 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 284 | blk.21.ffn_norm.weight | Block 21 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 285 | blk.21.ffn_up.weight | Block 21 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 286 | blk.21.post_attention_norm.weight | Block 21 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 287 | blk.21.post_ffw_norm.weight | Block 21 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.21: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 22 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 288 | blk.22.attn_k.weight | Block 22 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 289 | blk.22.attn_k_norm.weight | Block 22 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 290 | blk.22.attn_norm.weight | Block 22 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 291 | blk.22.attn_output.weight | Block 22 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 292 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 293 | blk.22.attn_q_norm.weight | Block 22 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 294 | blk.22.attn_v.weight | Block 22 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 295 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 296 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 297 | blk.22.ffn_norm.weight | Block 22 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 298 | blk.22.ffn_up.weight | Block 22 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 299 | blk.22.post_attention_norm.weight | Block 22 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 300 | blk.22.post_ffw_norm.weight | Block 22 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.22: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 23 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 301 | blk.23.attn_k.weight | Block 23 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 302 | blk.23.attn_k_norm.weight | Block 23 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 303 | blk.23.attn_norm.weight | Block 23 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 304 | blk.23.attn_output.weight | Block 23 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 305 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 306 | blk.23.attn_q_norm.weight | Block 23 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 307 | blk.23.attn_v.weight | Block 23 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 308 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 309 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 310 | blk.23.ffn_norm.weight | Block 23 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 311 | blk.23.ffn_up.weight | Block 23 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 312 | blk.23.post_attention_norm.weight | Block 23 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 313 | blk.23.post_ffw_norm.weight | Block 23 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.23: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 24 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 314 | blk.24.attn_k.weight | Block 24 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 315 | blk.24.attn_k_norm.weight | Block 24 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 316 | blk.24.attn_norm.weight | Block 24 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 317 | blk.24.attn_output.weight | Block 24 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 318 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 319 | blk.24.attn_q_norm.weight | Block 24 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 320 | blk.24.attn_v.weight | Block 24 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 321 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 322 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 323 | blk.24.ffn_norm.weight | Block 24 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 324 | blk.24.ffn_up.weight | Block 24 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 325 | blk.24.post_attention_norm.weight | Block 24 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 326 | blk.24.post_ffw_norm.weight | Block 24 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.24: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 25 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 327 | blk.25.attn_k.weight | Block 25 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 328 | blk.25.attn_k_norm.weight | Block 25 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 329 | blk.25.attn_norm.weight | Block 25 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 330 | blk.25.attn_output.weight | Block 25 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 331 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 332 | blk.25.attn_q_norm.weight | Block 25 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 333 | blk.25.attn_v.weight | Block 25 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 334 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 335 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 336 | blk.25.ffn_norm.weight | Block 25 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 337 | blk.25.ffn_up.weight | Block 25 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 338 | blk.25.post_attention_norm.weight | Block 25 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 339 | blk.25.post_ffw_norm.weight | Block 25 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.25: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 26 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 340 | blk.26.attn_k.weight | Block 26 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 341 | blk.26.attn_k_norm.weight | Block 26 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 342 | blk.26.attn_norm.weight | Block 26 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 343 | blk.26.attn_output.weight | Block 26 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 344 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 345 | blk.26.attn_q_norm.weight | Block 26 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 346 | blk.26.attn_v.weight | Block 26 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 347 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 348 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 349 | blk.26.ffn_norm.weight | Block 26 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 350 | blk.26.ffn_up.weight | Block 26 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 351 | blk.26.post_attention_norm.weight | Block 26 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 352 | blk.26.post_ffw_norm.weight | Block 26 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.26: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 27 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 353 | blk.27.attn_k.weight | Block 27 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 354 | blk.27.attn_k_norm.weight | Block 27 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 355 | blk.27.attn_norm.weight | Block 27 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 356 | blk.27.attn_output.weight | Block 27 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 357 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 358 | blk.27.attn_q_norm.weight | Block 27 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 359 | blk.27.attn_v.weight | Block 27 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 360 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 361 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 362 | blk.27.ffn_norm.weight | Block 27 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 363 | blk.27.ffn_up.weight | Block 27 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 364 | blk.27.post_attention_norm.weight | Block 27 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 365 | blk.27.post_ffw_norm.weight | Block 27 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.27: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 28 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 366 | blk.28.attn_k.weight | Block 28 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 367 | blk.28.attn_k_norm.weight | Block 28 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 368 | blk.28.attn_norm.weight | Block 28 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 369 | blk.28.attn_output.weight | Block 28 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 370 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 371 | blk.28.attn_q_norm.weight | Block 28 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 372 | blk.28.attn_v.weight | Block 28 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 373 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 374 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 375 | blk.28.ffn_norm.weight | Block 28 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 376 | blk.28.ffn_up.weight | Block 28 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 377 | blk.28.post_attention_norm.weight | Block 28 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 378 | blk.28.post_ffw_norm.weight | Block 28 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.28: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 29 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 379 | blk.29.attn_k.weight | Block 29 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 380 | blk.29.attn_k_norm.weight | Block 29 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 381 | blk.29.attn_norm.weight | Block 29 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 382 | blk.29.attn_output.weight | Block 29 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 383 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 384 | blk.29.attn_q_norm.weight | Block 29 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 385 | blk.29.attn_v.weight | Block 29 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 386 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 387 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 388 | blk.29.ffn_norm.weight | Block 29 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 389 | blk.29.ffn_up.weight | Block 29 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 390 | blk.29.post_attention_norm.weight | Block 29 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 391 | blk.29.post_ffw_norm.weight | Block 29 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.29: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 30 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 392 | blk.30.attn_k.weight | Block 30 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 393 | blk.30.attn_k_norm.weight | Block 30 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 394 | blk.30.attn_norm.weight | Block 30 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 395 | blk.30.attn_output.weight | Block 30 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 396 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 397 | blk.30.attn_q_norm.weight | Block 30 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 398 | blk.30.attn_v.weight | Block 30 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 399 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 400 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 401 | blk.30.ffn_norm.weight | Block 30 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 402 | blk.30.ffn_up.weight | Block 30 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 403 | blk.30.post_attention_norm.weight | Block 30 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 404 | blk.30.post_ffw_norm.weight | Block 30 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.30: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 31 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 405 | blk.31.attn_k.weight | Block 31 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 406 | blk.31.attn_k_norm.weight | Block 31 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 407 | blk.31.attn_norm.weight | Block 31 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 408 | blk.31.attn_output.weight | Block 31 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 409 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 410 | blk.31.attn_q_norm.weight | Block 31 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 411 | blk.31.attn_v.weight | Block 31 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 412 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 413 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 414 | blk.31.ffn_norm.weight | Block 31 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 415 | blk.31.ffn_up.weight | Block 31 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 416 | blk.31.post_attention_norm.weight | Block 31 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 417 | blk.31.post_ffw_norm.weight | Block 31 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.31: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 32 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 418 | blk.32.attn_k.weight | Block 32 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 419 | blk.32.attn_k_norm.weight | Block 32 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 420 | blk.32.attn_norm.weight | Block 32 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 421 | blk.32.attn_output.weight | Block 32 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 422 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 423 | blk.32.attn_q_norm.weight | Block 32 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 424 | blk.32.attn_v.weight | Block 32 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 425 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 426 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 427 | blk.32.ffn_norm.weight | Block 32 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 428 | blk.32.ffn_up.weight | Block 32 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 429 | blk.32.post_attention_norm.weight | Block 32 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 430 | blk.32.post_ffw_norm.weight | Block 32 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.32: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 33 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 431 | blk.33.attn_k.weight | Block 33 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 432 | blk.33.attn_k_norm.weight | Block 33 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 433 | blk.33.attn_norm.weight | Block 33 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 434 | blk.33.attn_output.weight | Block 33 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 435 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 436 | blk.33.attn_q_norm.weight | Block 33 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 437 | blk.33.attn_v.weight | Block 33 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 438 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 439 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 440 | blk.33.ffn_norm.weight | Block 33 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 441 | blk.33.ffn_up.weight | Block 33 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 442 | blk.33.post_attention_norm.weight | Block 33 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 443 | blk.33.post_ffw_norm.weight | Block 33 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.33: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 34 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 444 | blk.34.attn_k.weight | Block 34 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 445 | blk.34.attn_k_norm.weight | Block 34 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 446 | blk.34.attn_norm.weight | Block 34 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 447 | blk.34.attn_output.weight | Block 34 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 448 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 449 | blk.34.attn_q_norm.weight | Block 34 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 450 | blk.34.attn_v.weight | Block 34 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 451 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 452 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 453 | blk.34.ffn_norm.weight | Block 34 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 454 | blk.34.ffn_up.weight | Block 34 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 455 | blk.34.post_attention_norm.weight | Block 34 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 456 | blk.34.post_ffw_norm.weight | Block 34 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.34: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 35 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 457 | blk.35.attn_k.weight | Block 35 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 458 | blk.35.attn_k_norm.weight | Block 35 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 459 | blk.35.attn_norm.weight | Block 35 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 460 | blk.35.attn_output.weight | Block 35 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 461 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 462 | blk.35.attn_q_norm.weight | Block 35 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 463 | blk.35.attn_v.weight | Block 35 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 464 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 465 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 466 | blk.35.ffn_norm.weight | Block 35 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 467 | blk.35.ffn_up.weight | Block 35 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 468 | blk.35.post_attention_norm.weight | Block 35 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 469 | blk.35.post_ffw_norm.weight | Block 35 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.35: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 36 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 470 | blk.36.attn_k.weight | Block 36 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 471 | blk.36.attn_k_norm.weight | Block 36 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 472 | blk.36.attn_norm.weight | Block 36 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 473 | blk.36.attn_output.weight | Block 36 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 474 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 475 | blk.36.attn_q_norm.weight | Block 36 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 476 | blk.36.attn_v.weight | Block 36 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 477 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 478 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 479 | blk.36.ffn_norm.weight | Block 36 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 480 | blk.36.ffn_up.weight | Block 36 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 481 | blk.36.post_attention_norm.weight | Block 36 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 482 | blk.36.post_ffw_norm.weight | Block 36 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.36: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 37 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 483 | blk.37.attn_k.weight | Block 37 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 484 | blk.37.attn_k_norm.weight | Block 37 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 485 | blk.37.attn_norm.weight | Block 37 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 486 | blk.37.attn_output.weight | Block 37 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 487 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 488 | blk.37.attn_q_norm.weight | Block 37 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 489 | blk.37.attn_v.weight | Block 37 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 490 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 491 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 492 | blk.37.ffn_norm.weight | Block 37 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 493 | blk.37.ffn_up.weight | Block 37 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 494 | blk.37.post_attention_norm.weight | Block 37 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 495 | blk.37.post_ffw_norm.weight | Block 37 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.37: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 38 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 496 | blk.38.attn_k.weight | Block 38 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 497 | blk.38.attn_k_norm.weight | Block 38 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 498 | blk.38.attn_norm.weight | Block 38 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 499 | blk.38.attn_output.weight | Block 38 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 500 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 501 | blk.38.attn_q_norm.weight | Block 38 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 502 | blk.38.attn_v.weight | Block 38 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 503 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 504 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 505 | blk.38.ffn_norm.weight | Block 38 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 506 | blk.38.ffn_up.weight | Block 38 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 507 | blk.38.post_attention_norm.weight | Block 38 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 508 | blk.38.post_ffw_norm.weight | Block 38 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.38: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 39 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 509 | blk.39.attn_k.weight | Block 39 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 510 | blk.39.attn_k_norm.weight | Block 39 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 511 | blk.39.attn_norm.weight | Block 39 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 512 | blk.39.attn_output.weight | Block 39 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 513 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 514 | blk.39.attn_q_norm.weight | Block 39 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 515 | blk.39.attn_v.weight | Block 39 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 516 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 517 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 518 | blk.39.ffn_norm.weight | Block 39 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 519 | blk.39.ffn_up.weight | Block 39 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 520 | blk.39.post_attention_norm.weight | Block 39 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 521 | blk.39.post_ffw_norm.weight | Block 39 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.39: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 40 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 522 | blk.40.attn_k.weight | Block 40 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 523 | blk.40.attn_k_norm.weight | Block 40 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 524 | blk.40.attn_norm.weight | Block 40 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 525 | blk.40.attn_output.weight | Block 40 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 526 | blk.40.attn_q.weight | Block 40 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 527 | blk.40.attn_q_norm.weight | Block 40 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 528 | blk.40.attn_v.weight | Block 40 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 529 | blk.40.ffn_down.weight | Block 40 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 530 | blk.40.ffn_gate.weight | Block 40 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 531 | blk.40.ffn_norm.weight | Block 40 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 532 | blk.40.ffn_up.weight | Block 40 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 533 | blk.40.post_attention_norm.weight | Block 40 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 534 | blk.40.post_ffw_norm.weight | Block 40 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.40: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 41 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 535 | blk.41.attn_k.weight | Block 41 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 536 | blk.41.attn_k_norm.weight | Block 41 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 537 | blk.41.attn_norm.weight | Block 41 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 538 | blk.41.attn_output.weight | Block 41 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 539 | blk.41.attn_q.weight | Block 41 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 540 | blk.41.attn_q_norm.weight | Block 41 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 541 | blk.41.attn_v.weight | Block 41 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 542 | blk.41.ffn_down.weight | Block 41 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 543 | blk.41.ffn_gate.weight | Block 41 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 544 | blk.41.ffn_norm.weight | Block 41 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 545 | blk.41.ffn_up.weight | Block 41 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 546 | blk.41.post_attention_norm.weight | Block 41 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 547 | blk.41.post_ffw_norm.weight | Block 41 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.41: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 42 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 548 | blk.42.attn_k.weight | Block 42 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 549 | blk.42.attn_k_norm.weight | Block 42 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 550 | blk.42.attn_norm.weight | Block 42 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 551 | blk.42.attn_output.weight | Block 42 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 552 | blk.42.attn_q.weight | Block 42 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 553 | blk.42.attn_q_norm.weight | Block 42 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 554 | blk.42.attn_v.weight | Block 42 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 555 | blk.42.ffn_down.weight | Block 42 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 556 | blk.42.ffn_gate.weight | Block 42 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 557 | blk.42.ffn_norm.weight | Block 42 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 558 | blk.42.ffn_up.weight | Block 42 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 559 | blk.42.post_attention_norm.weight | Block 42 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 560 | blk.42.post_ffw_norm.weight | Block 42 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.42: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 43 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:--------| | 561 | blk.43.attn_k.weight | Block 43 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_XXS | | 562 | blk.43.attn_k_norm.weight | Block 43 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 563 | blk.43.attn_norm.weight | Block 43 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 564 | blk.43.attn_output.weight | Block 43 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 565 | blk.43.attn_q.weight | Block 43 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_XXS | | 566 | blk.43.attn_q_norm.weight | Block 43 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 567 | blk.43.attn_v.weight | Block 43 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 568 | blk.43.ffn_down.weight | Block 43 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 569 | blk.43.ffn_gate.weight | Block 43 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 570 | blk.43.ffn_norm.weight | Block 43 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 571 | blk.43.ffn_up.weight | Block 43 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_XXS | | 572 | blk.43.post_attention_norm.weight | Block 43 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 573 | blk.43.post_ffw_norm.weight | Block 43 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.43: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 44 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 574 | blk.44.attn_k.weight | Block 44 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 575 | blk.44.attn_k_norm.weight | Block 44 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 576 | blk.44.attn_norm.weight | Block 44 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 577 | blk.44.attn_output.weight | Block 44 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 578 | blk.44.attn_q.weight | Block 44 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 579 | blk.44.attn_q_norm.weight | Block 44 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 580 | blk.44.attn_v.weight | Block 44 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 581 | blk.44.ffn_down.weight | Block 44 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 582 | blk.44.ffn_gate.weight | Block 44 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 583 | blk.44.ffn_norm.weight | Block 44 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 584 | blk.44.ffn_up.weight | Block 44 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 585 | blk.44.post_attention_norm.weight | Block 44 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 586 | blk.44.post_ffw_norm.weight | Block 44 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.44: (~224M) 224148992 - Percentage of total elements: 1.98% ### Block 45 Tensor Group : ~224M Elements | T_ID | Tensor Layer Name | Human Friendly Tensor Layer Name | Elements | Shape | Type | |-----:|:----------------------------------|:------------------------------------------------|:----------------|:----------------------|:-------| | 587 | blk.45.attn_k.weight | Block 45 Attention Key (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 588 | blk.45.attn_k_norm.weight | Block 45 Attn_K_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 589 | blk.45.attn_norm.weight | Block 45 Attention Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 590 | blk.45.attn_output.weight | Block 45 Attention Output (W) | (~16M) 15728640 | 4096 x 3840 x 1 x 1 | IQ3_S | | 591 | blk.45.attn_q.weight | Block 45 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | IQ3_S | | 592 | blk.45.attn_q_norm.weight | Block 45 Attn_Q_Norm (W) | ( 256) 256 | 256 x 1 x 1 x 1 | F32 | | 593 | blk.45.attn_v.weight | Block 45 Attention Value (W) | ( ~8M) 7864320 | 3840 x 2048 x 1 x 1 | IQ3_S | | 594 | blk.45.ffn_down.weight | Block 45 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | IQ4_NL | | 595 | blk.45.ffn_gate.weight | Block 45 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 596 | blk.45.ffn_norm.weight | Block 45 Feed-Forward Network Normalization (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 597 | blk.45.ffn_up.weight | Block 45 Feed-Forward Network "Up" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | IQ3_S | | 598 | blk.45.post_attention_norm.weight | Block 45 Post_Attention_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | | 599 | blk.45.post_ffw_norm.weight | Block 45 Post_Ffw_Norm (W) | ( ~4K) 3840 | 3840 x 1 x 1 x 1 | F32 | - Total elements in blk.45: (~224M) 224148992 - Percentage of total elements: 1.98%