# gemma-3-12b-it-Q3_K_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 | 11 | | 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-Q3\_K\_S.gguf - GGUF Internal File Dump](#gemma-3-12b-it-q3_k_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 | 0x13b00000 | | 2 | blk.0.attn_k.weight | 0x14142a20 | 0x339000 | | 3 | blk.0.attn_k_norm.weight | 0x1447ba20 | 0x400 | | 4 | blk.0.attn_norm.weight | 0x1447be20 | 0x3c00 | | 5 | blk.0.attn_output.weight | 0x1447fa20 | 0x672000 | | 6 | blk.0.attn_q.weight | 0x14af1a20 | 0x672000 | | 7 | blk.0.attn_q_norm.weight | 0x15163a20 | 0x400 | | 8 | blk.0.attn_v.weight | 0x15163e20 | 0x339000 | | 9 | blk.0.ffn_down.weight | 0x1549ce20 | 0x1fa4000 | | 10 | blk.0.ffn_gate.weight | 0x17440e20 | 0x182b800 | | 11 | blk.0.ffn_norm.weight | 0x18c6c620 | 0x3c00 | | 12 | blk.0.ffn_up.weight | 0x18c70220 | 0x182b800 | | 13 | blk.0.post_attention_norm.weight | 0x1a49ba20 | 0x3c00 | | 14 | blk.0.post_ffw_norm.weight | 0x1a49f620 | 0x3c00 | | 15 | blk.1.attn_k.weight | 0x1a4a3220 | 0x339000 | | 16 | blk.1.attn_k_norm.weight | 0x1a7dc220 | 0x400 | | 17 | blk.1.attn_norm.weight | 0x1a7dc620 | 0x3c00 | | 18 | blk.1.attn_output.weight | 0x1a7e0220 | 0x672000 | | 19 | blk.1.attn_q.weight | 0x1ae52220 | 0x672000 | | 20 | blk.1.attn_q_norm.weight | 0x1b4c4220 | 0x400 | | 21 | blk.1.attn_v.weight | 0x1b4c4620 | 0x339000 | | 22 | blk.1.ffn_down.weight | 0x1b7fd620 | 0x1fa4000 | | 23 | blk.1.ffn_gate.weight | 0x1d7a1620 | 0x182b800 | | 24 | blk.1.ffn_norm.weight | 0x1efcce20 | 0x3c00 | | 25 | blk.1.ffn_up.weight | 0x1efd0a20 | 0x182b800 | | 26 | blk.1.post_attention_norm.weight | 0x207fc220 | 0x3c00 | | 27 | blk.1.post_ffw_norm.weight | 0x207ffe20 | 0x3c00 | | 28 | blk.2.attn_k.weight | 0x20803a20 | 0x339000 | | 29 | blk.2.attn_k_norm.weight | 0x20b3ca20 | 0x400 | | 30 | blk.2.attn_norm.weight | 0x20b3ce20 | 0x3c00 | | 31 | blk.2.attn_output.weight | 0x20b40a20 | 0x672000 | | 32 | blk.2.attn_q.weight | 0x211b2a20 | 0x672000 | | 33 | blk.2.attn_q_norm.weight | 0x21824a20 | 0x400 | | 34 | blk.2.attn_v.weight | 0x21824e20 | 0x339000 | | 35 | blk.2.ffn_down.weight | 0x21b5de20 | 0x1fa4000 | | 36 | blk.2.ffn_gate.weight | 0x23b01e20 | 0x182b800 | | 37 | blk.2.ffn_norm.weight | 0x2532d620 | 0x3c00 | | 38 | blk.2.ffn_up.weight | 0x25331220 | 0x182b800 | | 39 | blk.2.post_attention_norm.weight | 0x26b5ca20 | 0x3c00 | | 40 | blk.2.post_ffw_norm.weight | 0x26b60620 | 0x3c00 | | 41 | blk.3.attn_k.weight | 0x26b64220 | 0x339000 | | 42 | blk.3.attn_k_norm.weight | 0x26e9d220 | 0x400 | | 43 | blk.3.attn_norm.weight | 0x26e9d620 | 0x3c00 | | 44 | blk.3.attn_output.weight | 0x26ea1220 | 0x672000 | | 45 | blk.3.attn_q.weight | 0x27513220 | 0x672000 | | 46 | blk.3.attn_q_norm.weight | 0x27b85220 | 0x400 | | 47 | blk.3.attn_v.weight | 0x27b85620 | 0x339000 | | 48 | blk.3.ffn_down.weight | 0x27ebe620 | 0x1fa4000 | | 49 | blk.3.ffn_gate.weight | 0x29e62620 | 0x182b800 | | 50 | blk.3.ffn_norm.weight | 0x2b68de20 | 0x3c00 | | 51 | blk.3.ffn_up.weight | 0x2b691a20 | 0x182b800 | | 52 | blk.3.post_attention_norm.weight | 0x2cebd220 | 0x3c00 | | 53 | blk.3.post_ffw_norm.weight | 0x2cec0e20 | 0x3c00 | | 54 | blk.4.attn_k.weight | 0x2cec4a20 | 0x339000 | | 55 | blk.4.attn_k_norm.weight | 0x2d1fda20 | 0x400 | | 56 | blk.4.attn_norm.weight | 0x2d1fde20 | 0x3c00 | | 57 | blk.4.attn_output.weight | 0x2d201a20 | 0x672000 | | 58 | blk.4.attn_q.weight | 0x2d873a20 | 0x672000 | | 59 | blk.4.attn_q_norm.weight | 0x2dee5a20 | 0x400 | | 60 | blk.4.attn_v.weight | 0x2dee5e20 | 0x339000 | | 61 | blk.4.ffn_down.weight | 0x2e21ee20 | 0x1fa4000 | | 62 | blk.4.ffn_gate.weight | 0x301c2e20 | 0x182b800 | | 63 | blk.4.ffn_norm.weight | 0x319ee620 | 0x3c00 | | 64 | blk.4.ffn_up.weight | 0x319f2220 | 0x182b800 | | 65 | blk.4.post_attention_norm.weight | 0x3321da20 | 0x3c00 | | 66 | blk.4.post_ffw_norm.weight | 0x33221620 | 0x3c00 | | 67 | blk.5.attn_k.weight | 0x33225220 | 0x339000 | | 68 | blk.5.attn_k_norm.weight | 0x3355e220 | 0x400 | | 69 | blk.5.attn_norm.weight | 0x3355e620 | 0x3c00 | | 70 | blk.5.attn_output.weight | 0x33562220 | 0x672000 | | 71 | blk.5.attn_q.weight | 0x33bd4220 | 0x672000 | | 72 | blk.5.attn_q_norm.weight | 0x34246220 | 0x400 | | 73 | blk.5.attn_v.weight | 0x34246620 | 0x339000 | | 74 | blk.5.ffn_down.weight | 0x3457f620 | 0x1fa4000 | | 75 | blk.5.ffn_gate.weight | 0x36523620 | 0x182b800 | | 76 | blk.5.ffn_norm.weight | 0x37d4ee20 | 0x3c00 | | 77 | blk.5.ffn_up.weight | 0x37d52a20 | 0x182b800 | | 78 | blk.5.post_attention_norm.weight | 0x3957e220 | 0x3c00 | | 79 | blk.5.post_ffw_norm.weight | 0x39581e20 | 0x3c00 | | 80 | blk.6.attn_k.weight | 0x39585a20 | 0x339000 | | 81 | blk.6.attn_k_norm.weight | 0x398bea20 | 0x400 | | 82 | blk.6.attn_norm.weight | 0x398bee20 | 0x3c00 | | 83 | blk.6.attn_output.weight | 0x398c2a20 | 0x672000 | | 84 | blk.6.attn_q.weight | 0x39f34a20 | 0x672000 | | 85 | blk.6.attn_q_norm.weight | 0x3a5a6a20 | 0x400 | | 86 | blk.6.attn_v.weight | 0x3a5a6e20 | 0x339000 | | 87 | blk.6.ffn_down.weight | 0x3a8dfe20 | 0x1fa4000 | | 88 | blk.6.ffn_gate.weight | 0x3c883e20 | 0x182b800 | | 89 | blk.6.ffn_norm.weight | 0x3e0af620 | 0x3c00 | | 90 | blk.6.ffn_up.weight | 0x3e0b3220 | 0x182b800 | | 91 | blk.6.post_attention_norm.weight | 0x3f8dea20 | 0x3c00 | | 92 | blk.6.post_ffw_norm.weight | 0x3f8e2620 | 0x3c00 | | 93 | blk.7.attn_k.weight | 0x3f8e6220 | 0x339000 | | 94 | blk.7.attn_k_norm.weight | 0x3fc1f220 | 0x400 | | 95 | blk.7.attn_norm.weight | 0x3fc1f620 | 0x3c00 | | 96 | blk.7.attn_output.weight | 0x3fc23220 | 0x672000 | | 97 | blk.7.attn_q.weight | 0x40295220 | 0x672000 | | 98 | blk.7.attn_q_norm.weight | 0x40907220 | 0x400 | | 99 | blk.7.attn_v.weight | 0x40907620 | 0x339000 | | 100 | blk.7.ffn_down.weight | 0x40c40620 | 0x1fa4000 | | 101 | blk.7.ffn_gate.weight | 0x42be4620 | 0x182b800 | | 102 | blk.7.ffn_norm.weight | 0x4440fe20 | 0x3c00 | | 103 | blk.7.ffn_up.weight | 0x44413a20 | 0x182b800 | | 104 | blk.7.post_attention_norm.weight | 0x45c3f220 | 0x3c00 | | 105 | blk.7.post_ffw_norm.weight | 0x45c42e20 | 0x3c00 | | 106 | blk.8.attn_k.weight | 0x45c46a20 | 0x339000 | | 107 | blk.8.attn_k_norm.weight | 0x45f7fa20 | 0x400 | | 108 | blk.8.attn_norm.weight | 0x45f7fe20 | 0x3c00 | | 109 | blk.8.attn_output.weight | 0x45f83a20 | 0x672000 | | 110 | blk.8.attn_q.weight | 0x465f5a20 | 0x672000 | | 111 | blk.8.attn_q_norm.weight | 0x46c67a20 | 0x400 | | 112 | blk.8.attn_v.weight | 0x46c67e20 | 0x339000 | | 113 | blk.8.ffn_down.weight | 0x46fa0e20 | 0x1fa4000 | | 114 | blk.8.ffn_gate.weight | 0x48f44e20 | 0x182b800 | | 115 | blk.8.ffn_norm.weight | 0x4a770620 | 0x3c00 | | 116 | blk.8.ffn_up.weight | 0x4a774220 | 0x182b800 | | 117 | blk.8.post_attention_norm.weight | 0x4bf9fa20 | 0x3c00 | | 118 | blk.8.post_ffw_norm.weight | 0x4bfa3620 | 0x3c00 | | 119 | blk.9.attn_k.weight | 0x4bfa7220 | 0x339000 | | 120 | blk.9.attn_k_norm.weight | 0x4c2e0220 | 0x400 | | 121 | blk.9.attn_norm.weight | 0x4c2e0620 | 0x3c00 | | 122 | blk.9.attn_output.weight | 0x4c2e4220 | 0x672000 | | 123 | blk.9.attn_q.weight | 0x4c956220 | 0x672000 | | 124 | blk.9.attn_q_norm.weight | 0x4cfc8220 | 0x400 | | 125 | blk.9.attn_v.weight | 0x4cfc8620 | 0x339000 | | 126 | blk.9.ffn_down.weight | 0x4d301620 | 0x1fa4000 | | 127 | blk.9.ffn_gate.weight | 0x4f2a5620 | 0x182b800 | | 128 | blk.9.ffn_norm.weight | 0x50ad0e20 | 0x3c00 | | 129 | blk.9.ffn_up.weight | 0x50ad4a20 | 0x182b800 | | 130 | blk.9.post_attention_norm.weight | 0x52300220 | 0x3c00 | | 131 | blk.9.post_ffw_norm.weight | 0x52303e20 | 0x3c00 | | 132 | blk.10.attn_k.weight | 0x52307a20 | 0x339000 | | 133 | blk.10.attn_k_norm.weight | 0x52640a20 | 0x400 | | 134 | blk.10.attn_norm.weight | 0x52640e20 | 0x3c00 | | 135 | blk.10.attn_output.weight | 0x52644a20 | 0x672000 | | 136 | blk.10.attn_q.weight | 0x52cb6a20 | 0x672000 | | 137 | blk.10.attn_q_norm.weight | 0x53328a20 | 0x400 | | 138 | blk.10.attn_v.weight | 0x53328e20 | 0x339000 | | 139 | blk.10.ffn_down.weight | 0x53661e20 | 0x1fa4000 | | 140 | blk.10.ffn_gate.weight | 0x55605e20 | 0x182b800 | | 141 | blk.10.ffn_norm.weight | 0x56e31620 | 0x3c00 | | 142 | blk.10.ffn_up.weight | 0x56e35220 | 0x182b800 | | 143 | blk.10.post_attention_norm.weight | 0x58660a20 | 0x3c00 | | 144 | blk.10.post_ffw_norm.weight | 0x58664620 | 0x3c00 | | 145 | blk.11.attn_k.weight | 0x58668220 | 0x276000 | | 146 | blk.11.attn_k_norm.weight | 0x588de220 | 0x400 | | 147 | blk.11.attn_norm.weight | 0x588de620 | 0x3c00 | | 148 | blk.11.attn_output.weight | 0x588e2220 | 0x672000 | | 149 | blk.11.attn_q.weight | 0x58f54220 | 0x4ec000 | | 150 | blk.11.attn_q_norm.weight | 0x59440220 | 0x400 | | 151 | blk.11.attn_v.weight | 0x59440620 | 0x339000 | | 152 | blk.11.ffn_down.weight | 0x59779620 | 0x1fa4000 | | 153 | blk.11.ffn_gate.weight | 0x5b71d620 | 0x1275000 | | 154 | blk.11.ffn_norm.weight | 0x5c992620 | 0x3c00 | | 155 | blk.11.ffn_up.weight | 0x5c996220 | 0x1275000 | | 156 | blk.11.post_attention_norm.weight | 0x5dc0b220 | 0x3c00 | | 157 | blk.11.post_ffw_norm.weight | 0x5dc0ee20 | 0x3c00 | | 158 | blk.12.attn_k.weight | 0x5dc12a20 | 0x276000 | | 159 | blk.12.attn_k_norm.weight | 0x5de88a20 | 0x400 | | 160 | blk.12.attn_norm.weight | 0x5de88e20 | 0x3c00 | | 161 | blk.12.attn_output.weight | 0x5de8ca20 | 0x672000 | | 162 | blk.12.attn_q.weight | 0x5e4fea20 | 0x4ec000 | | 163 | blk.12.attn_q_norm.weight | 0x5e9eaa20 | 0x400 | | 164 | blk.12.attn_v.weight | 0x5e9eae20 | 0x339000 | | 165 | blk.12.ffn_down.weight | 0x5ed23e20 | 0x1fa4000 | | 166 | blk.12.ffn_gate.weight | 0x60cc7e20 | 0x1275000 | | 167 | blk.12.ffn_norm.weight | 0x61f3ce20 | 0x3c00 | | 168 | blk.12.ffn_up.weight | 0x61f40a20 | 0x1275000 | | 169 | blk.12.post_attention_norm.weight | 0x631b5a20 | 0x3c00 | | 170 | blk.12.post_ffw_norm.weight | 0x631b9620 | 0x3c00 | | 171 | blk.13.attn_k.weight | 0x631bd220 | 0x276000 | | 172 | blk.13.attn_k_norm.weight | 0x63433220 | 0x400 | | 173 | blk.13.attn_norm.weight | 0x63433620 | 0x3c00 | | 174 | blk.13.attn_output.weight | 0x63437220 | 0x672000 | | 175 | blk.13.attn_q.weight | 0x63aa9220 | 0x4ec000 | | 176 | blk.13.attn_q_norm.weight | 0x63f95220 | 0x400 | | 177 | blk.13.attn_v.weight | 0x63f95620 | 0x339000 | | 178 | blk.13.ffn_down.weight | 0x642ce620 | 0x1fa4000 | | 179 | blk.13.ffn_gate.weight | 0x66272620 | 0x1275000 | | 180 | blk.13.ffn_norm.weight | 0x674e7620 | 0x3c00 | | 181 | blk.13.ffn_up.weight | 0x674eb220 | 0x1275000 | | 182 | blk.13.post_attention_norm.weight | 0x68760220 | 0x3c00 | | 183 | blk.13.post_ffw_norm.weight | 0x68763e20 | 0x3c00 | | 184 | blk.14.attn_k.weight | 0x68767a20 | 0x276000 | | 185 | blk.14.attn_k_norm.weight | 0x689dda20 | 0x400 | | 186 | blk.14.attn_norm.weight | 0x689dde20 | 0x3c00 | | 187 | blk.14.attn_output.weight | 0x689e1a20 | 0x672000 | | 188 | blk.14.attn_q.weight | 0x69053a20 | 0x4ec000 | | 189 | blk.14.attn_q_norm.weight | 0x6953fa20 | 0x400 | | 190 | blk.14.attn_v.weight | 0x6953fe20 | 0x339000 | | 191 | blk.14.ffn_down.weight | 0x69878e20 | 0x1fa4000 | | 192 | blk.14.ffn_gate.weight | 0x6b81ce20 | 0x1275000 | | 193 | blk.14.ffn_norm.weight | 0x6ca91e20 | 0x3c00 | | 194 | blk.14.ffn_up.weight | 0x6ca95a20 | 0x1275000 | | 195 | blk.14.post_attention_norm.weight | 0x6dd0aa20 | 0x3c00 | | 196 | blk.14.post_ffw_norm.weight | 0x6dd0e620 | 0x3c00 | | 197 | blk.15.attn_k.weight | 0x6dd12220 | 0x276000 | | 198 | blk.15.attn_k_norm.weight | 0x6df88220 | 0x400 | | 199 | blk.15.attn_norm.weight | 0x6df88620 | 0x3c00 | | 200 | blk.15.attn_output.weight | 0x6df8c220 | 0x672000 | | 201 | blk.15.attn_q.weight | 0x6e5fe220 | 0x4ec000 | | 202 | blk.15.attn_q_norm.weight | 0x6eaea220 | 0x400 | | 203 | blk.15.attn_v.weight | 0x6eaea620 | 0x339000 | | 204 | blk.15.ffn_down.weight | 0x6ee23620 | 0x1fa4000 | | 205 | blk.15.ffn_gate.weight | 0x70dc7620 | 0x1275000 | | 206 | blk.15.ffn_norm.weight | 0x7203c620 | 0x3c00 | | 207 | blk.15.ffn_up.weight | 0x72040220 | 0x1275000 | | 208 | blk.15.post_attention_norm.weight | 0x732b5220 | 0x3c00 | | 209 | blk.15.post_ffw_norm.weight | 0x732b8e20 | 0x3c00 | | 210 | blk.16.attn_k.weight | 0x732bca20 | 0x276000 | | 211 | blk.16.attn_k_norm.weight | 0x73532a20 | 0x400 | | 212 | blk.16.attn_norm.weight | 0x73532e20 | 0x3c00 | | 213 | blk.16.attn_output.weight | 0x73536a20 | 0x672000 | | 214 | blk.16.attn_q.weight | 0x73ba8a20 | 0x4ec000 | | 215 | blk.16.attn_q_norm.weight | 0x74094a20 | 0x400 | | 216 | blk.16.attn_v.weight | 0x74094e20 | 0x339000 | | 217 | blk.16.ffn_down.weight | 0x743cde20 | 0x1fa4000 | | 218 | blk.16.ffn_gate.weight | 0x76371e20 | 0x1275000 | | 219 | blk.16.ffn_norm.weight | 0x775e6e20 | 0x3c00 | | 220 | blk.16.ffn_up.weight | 0x775eaa20 | 0x1275000 | | 221 | blk.16.post_attention_norm.weight | 0x7885fa20 | 0x3c00 | | 222 | blk.16.post_ffw_norm.weight | 0x78863620 | 0x3c00 | | 223 | blk.17.attn_k.weight | 0x78867220 | 0x276000 | | 224 | blk.17.attn_k_norm.weight | 0x78add220 | 0x400 | | 225 | blk.17.attn_norm.weight | 0x78add620 | 0x3c00 | | 226 | blk.17.attn_output.weight | 0x78ae1220 | 0x672000 | | 227 | blk.17.attn_q.weight | 0x79153220 | 0x4ec000 | | 228 | blk.17.attn_q_norm.weight | 0x7963f220 | 0x400 | | 229 | blk.17.attn_v.weight | 0x7963f620 | 0x339000 | | 230 | blk.17.ffn_down.weight | 0x79978620 | 0x1fa4000 | | 231 | blk.17.ffn_gate.weight | 0x7b91c620 | 0x1275000 | | 232 | blk.17.ffn_norm.weight | 0x7cb91620 | 0x3c00 | | 233 | blk.17.ffn_up.weight | 0x7cb95220 | 0x1275000 | | 234 | blk.17.post_attention_norm.weight | 0x7de0a220 | 0x3c00 | | 235 | blk.17.post_ffw_norm.weight | 0x7de0de20 | 0x3c00 | | 236 | blk.18.attn_k.weight | 0x7de11a20 | 0x276000 | | 237 | blk.18.attn_k_norm.weight | 0x7e087a20 | 0x400 | | 238 | blk.18.attn_norm.weight | 0x7e087e20 | 0x3c00 | | 239 | blk.18.attn_output.weight | 0x7e08ba20 | 0x672000 | | 240 | blk.18.attn_q.weight | 0x7e6fda20 | 0x4ec000 | | 241 | blk.18.attn_q_norm.weight | 0x7ebe9a20 | 0x400 | | 242 | blk.18.attn_v.weight | 0x7ebe9e20 | 0x339000 | | 243 | blk.18.ffn_down.weight | 0x7ef22e20 | 0x1fa4000 | | 244 | blk.18.ffn_gate.weight | 0x80ec6e20 | 0x1275000 | | 245 | blk.18.ffn_norm.weight | 0x8213be20 | 0x3c00 | | 246 | blk.18.ffn_up.weight | 0x8213fa20 | 0x1275000 | | 247 | blk.18.post_attention_norm.weight | 0x833b4a20 | 0x3c00 | | 248 | blk.18.post_ffw_norm.weight | 0x833b8620 | 0x3c00 | | 249 | blk.19.attn_k.weight | 0x833bc220 | 0x276000 | | 250 | blk.19.attn_k_norm.weight | 0x83632220 | 0x400 | | 251 | blk.19.attn_norm.weight | 0x83632620 | 0x3c00 | | 252 | blk.19.attn_output.weight | 0x83636220 | 0x672000 | | 253 | blk.19.attn_q.weight | 0x83ca8220 | 0x4ec000 | | 254 | blk.19.attn_q_norm.weight | 0x84194220 | 0x400 | | 255 | blk.19.attn_v.weight | 0x84194620 | 0x339000 | | 256 | blk.19.ffn_down.weight | 0x844cd620 | 0x1fa4000 | | 257 | blk.19.ffn_gate.weight | 0x86471620 | 0x1275000 | | 258 | blk.19.ffn_norm.weight | 0x876e6620 | 0x3c00 | | 259 | blk.19.ffn_up.weight | 0x876ea220 | 0x1275000 | | 260 | blk.19.post_attention_norm.weight | 0x8895f220 | 0x3c00 | | 261 | blk.19.post_ffw_norm.weight | 0x88962e20 | 0x3c00 | | 262 | blk.20.attn_k.weight | 0x88966a20 | 0x276000 | | 263 | blk.20.attn_k_norm.weight | 0x88bdca20 | 0x400 | | 264 | blk.20.attn_norm.weight | 0x88bdce20 | 0x3c00 | | 265 | blk.20.attn_output.weight | 0x88be0a20 | 0x672000 | | 266 | blk.20.attn_q.weight | 0x89252a20 | 0x4ec000 | | 267 | blk.20.attn_q_norm.weight | 0x8973ea20 | 0x400 | | 268 | blk.20.attn_v.weight | 0x8973ee20 | 0x339000 | | 269 | blk.20.ffn_down.weight | 0x89a77e20 | 0x1fa4000 | | 270 | blk.20.ffn_gate.weight | 0x8ba1be20 | 0x1275000 | | 271 | blk.20.ffn_norm.weight | 0x8cc90e20 | 0x3c00 | | 272 | blk.20.ffn_up.weight | 0x8cc94a20 | 0x1275000 | | 273 | blk.20.post_attention_norm.weight | 0x8df09a20 | 0x3c00 | | 274 | blk.20.post_ffw_norm.weight | 0x8df0d620 | 0x3c00 | | 275 | blk.21.attn_k.weight | 0x8df11220 | 0x276000 | | 276 | blk.21.attn_k_norm.weight | 0x8e187220 | 0x400 | | 277 | blk.21.attn_norm.weight | 0x8e187620 | 0x3c00 | | 278 | blk.21.attn_output.weight | 0x8e18b220 | 0x672000 | | 279 | blk.21.attn_q.weight | 0x8e7fd220 | 0x4ec000 | | 280 | blk.21.attn_q_norm.weight | 0x8ece9220 | 0x400 | | 281 | blk.21.attn_v.weight | 0x8ece9620 | 0x339000 | | 282 | blk.21.ffn_down.weight | 0x8f022620 | 0x1fa4000 | | 283 | blk.21.ffn_gate.weight | 0x90fc6620 | 0x1275000 | | 284 | blk.21.ffn_norm.weight | 0x9223b620 | 0x3c00 | | 285 | blk.21.ffn_up.weight | 0x9223f220 | 0x1275000 | | 286 | blk.21.post_attention_norm.weight | 0x934b4220 | 0x3c00 | | 287 | blk.21.post_ffw_norm.weight | 0x934b7e20 | 0x3c00 | | 288 | blk.22.attn_k.weight | 0x934bba20 | 0x276000 | | 289 | blk.22.attn_k_norm.weight | 0x93731a20 | 0x400 | | 290 | blk.22.attn_norm.weight | 0x93731e20 | 0x3c00 | | 291 | blk.22.attn_output.weight | 0x93735a20 | 0x672000 | | 292 | blk.22.attn_q.weight | 0x93da7a20 | 0x4ec000 | | 293 | blk.22.attn_q_norm.weight | 0x94293a20 | 0x400 | | 294 | blk.22.attn_v.weight | 0x94293e20 | 0x339000 | | 295 | blk.22.ffn_down.weight | 0x945cce20 | 0x1fa4000 | | 296 | blk.22.ffn_gate.weight | 0x96570e20 | 0x1275000 | | 297 | blk.22.ffn_norm.weight | 0x977e5e20 | 0x3c00 | | 298 | blk.22.ffn_up.weight | 0x977e9a20 | 0x1275000 | | 299 | blk.22.post_attention_norm.weight | 0x98a5ea20 | 0x3c00 | | 300 | blk.22.post_ffw_norm.weight | 0x98a62620 | 0x3c00 | | 301 | blk.23.attn_k.weight | 0x98a66220 | 0x276000 | | 302 | blk.23.attn_k_norm.weight | 0x98cdc220 | 0x400 | | 303 | blk.23.attn_norm.weight | 0x98cdc620 | 0x3c00 | | 304 | blk.23.attn_output.weight | 0x98ce0220 | 0x672000 | | 305 | blk.23.attn_q.weight | 0x99352220 | 0x4ec000 | | 306 | blk.23.attn_q_norm.weight | 0x9983e220 | 0x400 | | 307 | blk.23.attn_v.weight | 0x9983e620 | 0x339000 | | 308 | blk.23.ffn_down.weight | 0x99b77620 | 0x1fa4000 | | 309 | blk.23.ffn_gate.weight | 0x9bb1b620 | 0x1275000 | | 310 | blk.23.ffn_norm.weight | 0x9cd90620 | 0x3c00 | | 311 | blk.23.ffn_up.weight | 0x9cd94220 | 0x1275000 | | 312 | blk.23.post_attention_norm.weight | 0x9e009220 | 0x3c00 | | 313 | blk.23.post_ffw_norm.weight | 0x9e00ce20 | 0x3c00 | | 314 | blk.24.attn_k.weight | 0x9e010a20 | 0x339000 | | 315 | blk.24.attn_k_norm.weight | 0x9e349a20 | 0x400 | | 316 | blk.24.attn_norm.weight | 0x9e349e20 | 0x3c00 | | 317 | blk.24.attn_output.weight | 0x9e34da20 | 0x672000 | | 318 | blk.24.attn_q.weight | 0x9e9bfa20 | 0x672000 | | 319 | blk.24.attn_q_norm.weight | 0x9f031a20 | 0x400 | | 320 | blk.24.attn_v.weight | 0x9f031e20 | 0x339000 | | 321 | blk.24.ffn_down.weight | 0x9f36ae20 | 0x1fa4000 | | 322 | blk.24.ffn_gate.weight | 0xa130ee20 | 0x182b800 | | 323 | blk.24.ffn_norm.weight | 0xa2b3a620 | 0x3c00 | | 324 | blk.24.ffn_up.weight | 0xa2b3e220 | 0x182b800 | | 325 | blk.24.post_attention_norm.weight | 0xa4369a20 | 0x3c00 | | 326 | blk.24.post_ffw_norm.weight | 0xa436d620 | 0x3c00 | | 327 | blk.25.attn_k.weight | 0xa4371220 | 0x276000 | | 328 | blk.25.attn_k_norm.weight | 0xa45e7220 | 0x400 | | 329 | blk.25.attn_norm.weight | 0xa45e7620 | 0x3c00 | | 330 | blk.25.attn_output.weight | 0xa45eb220 | 0x672000 | | 331 | blk.25.attn_q.weight | 0xa4c5d220 | 0x4ec000 | | 332 | blk.25.attn_q_norm.weight | 0xa5149220 | 0x400 | | 333 | blk.25.attn_v.weight | 0xa5149620 | 0x339000 | | 334 | blk.25.ffn_down.weight | 0xa5482620 | 0x1fa4000 | | 335 | blk.25.ffn_gate.weight | 0xa7426620 | 0x1275000 | | 336 | blk.25.ffn_norm.weight | 0xa869b620 | 0x3c00 | | 337 | blk.25.ffn_up.weight | 0xa869f220 | 0x1275000 | | 338 | blk.25.post_attention_norm.weight | 0xa9914220 | 0x3c00 | | 339 | blk.25.post_ffw_norm.weight | 0xa9917e20 | 0x3c00 | | 340 | blk.26.attn_k.weight | 0xa991ba20 | 0x276000 | | 341 | blk.26.attn_k_norm.weight | 0xa9b91a20 | 0x400 | | 342 | blk.26.attn_norm.weight | 0xa9b91e20 | 0x3c00 | | 343 | blk.26.attn_output.weight | 0xa9b95a20 | 0x672000 | | 344 | blk.26.attn_q.weight | 0xaa207a20 | 0x4ec000 | | 345 | blk.26.attn_q_norm.weight | 0xaa6f3a20 | 0x400 | | 346 | blk.26.attn_v.weight | 0xaa6f3e20 | 0x339000 | | 347 | blk.26.ffn_down.weight | 0xaaa2ce20 | 0x1fa4000 | | 348 | blk.26.ffn_gate.weight | 0xac9d0e20 | 0x1275000 | | 349 | blk.26.ffn_norm.weight | 0xadc45e20 | 0x3c00 | | 350 | blk.26.ffn_up.weight | 0xadc49a20 | 0x1275000 | | 351 | blk.26.post_attention_norm.weight | 0xaeebea20 | 0x3c00 | | 352 | blk.26.post_ffw_norm.weight | 0xaeec2620 | 0x3c00 | | 353 | blk.27.attn_k.weight | 0xaeec6220 | 0x276000 | | 354 | blk.27.attn_k_norm.weight | 0xaf13c220 | 0x400 | | 355 | blk.27.attn_norm.weight | 0xaf13c620 | 0x3c00 | | 356 | blk.27.attn_output.weight | 0xaf140220 | 0x672000 | | 357 | blk.27.attn_q.weight | 0xaf7b2220 | 0x4ec000 | | 358 | blk.27.attn_q_norm.weight | 0xafc9e220 | 0x400 | | 359 | blk.27.attn_v.weight | 0xafc9e620 | 0x339000 | | 360 | blk.27.ffn_down.weight | 0xaffd7620 | 0x1fa4000 | | 361 | blk.27.ffn_gate.weight | 0xb1f7b620 | 0x1275000 | | 362 | blk.27.ffn_norm.weight | 0xb31f0620 | 0x3c00 | | 363 | blk.27.ffn_up.weight | 0xb31f4220 | 0x1275000 | | 364 | blk.27.post_attention_norm.weight | 0xb4469220 | 0x3c00 | | 365 | blk.27.post_ffw_norm.weight | 0xb446ce20 | 0x3c00 | | 366 | blk.28.attn_k.weight | 0xb4470a20 | 0x339000 | | 367 | blk.28.attn_k_norm.weight | 0xb47a9a20 | 0x400 | | 368 | blk.28.attn_norm.weight | 0xb47a9e20 | 0x3c00 | | 369 | blk.28.attn_output.weight | 0xb47ada20 | 0x672000 | | 370 | blk.28.attn_q.weight | 0xb4e1fa20 | 0x672000 | | 371 | blk.28.attn_q_norm.weight | 0xb5491a20 | 0x400 | | 372 | blk.28.attn_v.weight | 0xb5491e20 | 0x339000 | | 373 | blk.28.ffn_down.weight | 0xb57cae20 | 0x1fa4000 | | 374 | blk.28.ffn_gate.weight | 0xb776ee20 | 0x182b800 | | 375 | blk.28.ffn_norm.weight | 0xb8f9a620 | 0x3c00 | | 376 | blk.28.ffn_up.weight | 0xb8f9e220 | 0x182b800 | | 377 | blk.28.post_attention_norm.weight | 0xba7c9a20 | 0x3c00 | | 378 | blk.28.post_ffw_norm.weight | 0xba7cd620 | 0x3c00 | | 379 | blk.29.attn_k.weight | 0xba7d1220 | 0x276000 | | 380 | blk.29.attn_k_norm.weight | 0xbaa47220 | 0x400 | | 381 | blk.29.attn_norm.weight | 0xbaa47620 | 0x3c00 | | 382 | blk.29.attn_output.weight | 0xbaa4b220 | 0x672000 | | 383 | blk.29.attn_q.weight | 0xbb0bd220 | 0x4ec000 | | 384 | blk.29.attn_q_norm.weight | 0xbb5a9220 | 0x400 | | 385 | blk.29.attn_v.weight | 0xbb5a9620 | 0x339000 | | 386 | blk.29.ffn_down.weight | 0xbb8e2620 | 0x1fa4000 | | 387 | blk.29.ffn_gate.weight | 0xbd886620 | 0x1275000 | | 388 | blk.29.ffn_norm.weight | 0xbeafb620 | 0x3c00 | | 389 | blk.29.ffn_up.weight | 0xbeaff220 | 0x1275000 | | 390 | blk.29.post_attention_norm.weight | 0xbfd74220 | 0x3c00 | | 391 | blk.29.post_ffw_norm.weight | 0xbfd77e20 | 0x3c00 | | 392 | blk.30.attn_k.weight | 0xbfd7ba20 | 0x276000 | | 393 | blk.30.attn_k_norm.weight | 0xbfff1a20 | 0x400 | | 394 | blk.30.attn_norm.weight | 0xbfff1e20 | 0x3c00 | | 395 | blk.30.attn_output.weight | 0xbfff5a20 | 0x672000 | | 396 | blk.30.attn_q.weight | 0xc0667a20 | 0x4ec000 | | 397 | blk.30.attn_q_norm.weight | 0xc0b53a20 | 0x400 | | 398 | blk.30.attn_v.weight | 0xc0b53e20 | 0x339000 | | 399 | blk.30.ffn_down.weight | 0xc0e8ce20 | 0x1fa4000 | | 400 | blk.30.ffn_gate.weight | 0xc2e30e20 | 0x1275000 | | 401 | blk.30.ffn_norm.weight | 0xc40a5e20 | 0x3c00 | | 402 | blk.30.ffn_up.weight | 0xc40a9a20 | 0x1275000 | | 403 | blk.30.post_attention_norm.weight | 0xc531ea20 | 0x3c00 | | 404 | blk.30.post_ffw_norm.weight | 0xc5322620 | 0x3c00 | | 405 | blk.31.attn_k.weight | 0xc5326220 | 0x339000 | | 406 | blk.31.attn_k_norm.weight | 0xc565f220 | 0x400 | | 407 | blk.31.attn_norm.weight | 0xc565f620 | 0x3c00 | | 408 | blk.31.attn_output.weight | 0xc5663220 | 0x672000 | | 409 | blk.31.attn_q.weight | 0xc5cd5220 | 0x672000 | | 410 | blk.31.attn_q_norm.weight | 0xc6347220 | 0x400 | | 411 | blk.31.attn_v.weight | 0xc6347620 | 0x339000 | | 412 | blk.31.ffn_down.weight | 0xc6680620 | 0x1fa4000 | | 413 | blk.31.ffn_gate.weight | 0xc8624620 | 0x182b800 | | 414 | blk.31.ffn_norm.weight | 0xc9e4fe20 | 0x3c00 | | 415 | blk.31.ffn_up.weight | 0xc9e53a20 | 0x182b800 | | 416 | blk.31.post_attention_norm.weight | 0xcb67f220 | 0x3c00 | | 417 | blk.31.post_ffw_norm.weight | 0xcb682e20 | 0x3c00 | | 418 | blk.32.attn_k.weight | 0xcb686a20 | 0x339000 | | 419 | blk.32.attn_k_norm.weight | 0xcb9bfa20 | 0x400 | | 420 | blk.32.attn_norm.weight | 0xcb9bfe20 | 0x3c00 | | 421 | blk.32.attn_output.weight | 0xcb9c3a20 | 0x672000 | | 422 | blk.32.attn_q.weight | 0xcc035a20 | 0x672000 | | 423 | blk.32.attn_q_norm.weight | 0xcc6a7a20 | 0x400 | | 424 | blk.32.attn_v.weight | 0xcc6a7e20 | 0x339000 | | 425 | blk.32.ffn_down.weight | 0xcc9e0e20 | 0x1fa4000 | | 426 | blk.32.ffn_gate.weight | 0xce984e20 | 0x182b800 | | 427 | blk.32.ffn_norm.weight | 0xd01b0620 | 0x3c00 | | 428 | blk.32.ffn_up.weight | 0xd01b4220 | 0x182b800 | | 429 | blk.32.post_attention_norm.weight | 0xd19dfa20 | 0x3c00 | | 430 | blk.32.post_ffw_norm.weight | 0xd19e3620 | 0x3c00 | | 431 | blk.33.attn_k.weight | 0xd19e7220 | 0x339000 | | 432 | blk.33.attn_k_norm.weight | 0xd1d20220 | 0x400 | | 433 | blk.33.attn_norm.weight | 0xd1d20620 | 0x3c00 | | 434 | blk.33.attn_output.weight | 0xd1d24220 | 0x672000 | | 435 | blk.33.attn_q.weight | 0xd2396220 | 0x672000 | | 436 | blk.33.attn_q_norm.weight | 0xd2a08220 | 0x400 | | 437 | blk.33.attn_v.weight | 0xd2a08620 | 0x339000 | | 438 | blk.33.ffn_down.weight | 0xd2d41620 | 0x1fa4000 | | 439 | blk.33.ffn_gate.weight | 0xd4ce5620 | 0x182b800 | | 440 | blk.33.ffn_norm.weight | 0xd6510e20 | 0x3c00 | | 441 | blk.33.ffn_up.weight | 0xd6514a20 | 0x182b800 | | 442 | blk.33.post_attention_norm.weight | 0xd7d40220 | 0x3c00 | | 443 | blk.33.post_ffw_norm.weight | 0xd7d43e20 | 0x3c00 | | 444 | blk.34.attn_k.weight | 0xd7d47a20 | 0x339000 | | 445 | blk.34.attn_k_norm.weight | 0xd8080a20 | 0x400 | | 446 | blk.34.attn_norm.weight | 0xd8080e20 | 0x3c00 | | 447 | blk.34.attn_output.weight | 0xd8084a20 | 0x672000 | | 448 | blk.34.attn_q.weight | 0xd86f6a20 | 0x672000 | | 449 | blk.34.attn_q_norm.weight | 0xd8d68a20 | 0x400 | | 450 | blk.34.attn_v.weight | 0xd8d68e20 | 0x339000 | | 451 | blk.34.ffn_down.weight | 0xd90a1e20 | 0x1fa4000 | | 452 | blk.34.ffn_gate.weight | 0xdb045e20 | 0x182b800 | | 453 | blk.34.ffn_norm.weight | 0xdc871620 | 0x3c00 | | 454 | blk.34.ffn_up.weight | 0xdc875220 | 0x182b800 | | 455 | blk.34.post_attention_norm.weight | 0xde0a0a20 | 0x3c00 | | 456 | blk.34.post_ffw_norm.weight | 0xde0a4620 | 0x3c00 | | 457 | blk.35.attn_k.weight | 0xde0a8220 | 0x276000 | | 458 | blk.35.attn_k_norm.weight | 0xde31e220 | 0x400 | | 459 | blk.35.attn_norm.weight | 0xde31e620 | 0x3c00 | | 460 | blk.35.attn_output.weight | 0xde322220 | 0x672000 | | 461 | blk.35.attn_q.weight | 0xde994220 | 0x4ec000 | | 462 | blk.35.attn_q_norm.weight | 0xdee80220 | 0x400 | | 463 | blk.35.attn_v.weight | 0xdee80620 | 0x339000 | | 464 | blk.35.ffn_down.weight | 0xdf1b9620 | 0x1fa4000 | | 465 | blk.35.ffn_gate.weight | 0xe115d620 | 0x1275000 | | 466 | blk.35.ffn_norm.weight | 0xe23d2620 | 0x3c00 | | 467 | blk.35.ffn_up.weight | 0xe23d6220 | 0x1275000 | | 468 | blk.35.post_attention_norm.weight | 0xe364b220 | 0x3c00 | | 469 | blk.35.post_ffw_norm.weight | 0xe364ee20 | 0x3c00 | | 470 | blk.36.attn_k.weight | 0xe3652a20 | 0x339000 | | 471 | blk.36.attn_k_norm.weight | 0xe398ba20 | 0x400 | | 472 | blk.36.attn_norm.weight | 0xe398be20 | 0x3c00 | | 473 | blk.36.attn_output.weight | 0xe398fa20 | 0x672000 | | 474 | blk.36.attn_q.weight | 0xe4001a20 | 0x672000 | | 475 | blk.36.attn_q_norm.weight | 0xe4673a20 | 0x400 | | 476 | blk.36.attn_v.weight | 0xe4673e20 | 0x339000 | | 477 | blk.36.ffn_down.weight | 0xe49ace20 | 0x1fa4000 | | 478 | blk.36.ffn_gate.weight | 0xe6950e20 | 0x182b800 | | 479 | blk.36.ffn_norm.weight | 0xe817c620 | 0x3c00 | | 480 | blk.36.ffn_up.weight | 0xe8180220 | 0x182b800 | | 481 | blk.36.post_attention_norm.weight | 0xe99aba20 | 0x3c00 | | 482 | blk.36.post_ffw_norm.weight | 0xe99af620 | 0x3c00 | | 483 | blk.37.attn_k.weight | 0xe99b3220 | 0x339000 | | 484 | blk.37.attn_k_norm.weight | 0xe9cec220 | 0x400 | | 485 | blk.37.attn_norm.weight | 0xe9cec620 | 0x3c00 | | 486 | blk.37.attn_output.weight | 0xe9cf0220 | 0x672000 | | 487 | blk.37.attn_q.weight | 0xea362220 | 0x672000 | | 488 | blk.37.attn_q_norm.weight | 0xea9d4220 | 0x400 | | 489 | blk.37.attn_v.weight | 0xea9d4620 | 0x339000 | | 490 | blk.37.ffn_down.weight | 0xead0d620 | 0x1fa4000 | | 491 | blk.37.ffn_gate.weight | 0xeccb1620 | 0x182b800 | | 492 | blk.37.ffn_norm.weight | 0xee4dce20 | 0x3c00 | | 493 | blk.37.ffn_up.weight | 0xee4e0a20 | 0x182b800 | | 494 | blk.37.post_attention_norm.weight | 0xefd0c220 | 0x3c00 | | 495 | blk.37.post_ffw_norm.weight | 0xefd0fe20 | 0x3c00 | | 496 | blk.38.attn_k.weight | 0xefd13a20 | 0x339000 | | 497 | blk.38.attn_k_norm.weight | 0xf004ca20 | 0x400 | | 498 | blk.38.attn_norm.weight | 0xf004ce20 | 0x3c00 | | 499 | blk.38.attn_output.weight | 0xf0050a20 | 0x672000 | | 500 | blk.38.attn_q.weight | 0xf06c2a20 | 0x672000 | | 501 | blk.38.attn_q_norm.weight | 0xf0d34a20 | 0x400 | | 502 | blk.38.attn_v.weight | 0xf0d34e20 | 0x339000 | | 503 | blk.38.ffn_down.weight | 0xf106de20 | 0x1fa4000 | | 504 | blk.38.ffn_gate.weight | 0xf3011e20 | 0x182b800 | | 505 | blk.38.ffn_norm.weight | 0xf483d620 | 0x3c00 | | 506 | blk.38.ffn_up.weight | 0xf4841220 | 0x182b800 | | 507 | blk.38.post_attention_norm.weight | 0xf606ca20 | 0x3c00 | | 508 | blk.38.post_ffw_norm.weight | 0xf6070620 | 0x3c00 | | 509 | blk.39.attn_k.weight | 0xf6074220 | 0x339000 | | 510 | blk.39.attn_k_norm.weight | 0xf63ad220 | 0x400 | | 511 | blk.39.attn_norm.weight | 0xf63ad620 | 0x3c00 | | 512 | blk.39.attn_output.weight | 0xf63b1220 | 0x672000 | | 513 | blk.39.attn_q.weight | 0xf6a23220 | 0x672000 | | 514 | blk.39.attn_q_norm.weight | 0xf7095220 | 0x400 | | 515 | blk.39.attn_v.weight | 0xf7095620 | 0x339000 | | 516 | blk.39.ffn_down.weight | 0xf73ce620 | 0x1fa4000 | | 517 | blk.39.ffn_gate.weight | 0xf9372620 | 0x182b800 | | 518 | blk.39.ffn_norm.weight | 0xfab9de20 | 0x3c00 | | 519 | blk.39.ffn_up.weight | 0xfaba1a20 | 0x182b800 | | 520 | blk.39.post_attention_norm.weight | 0xfc3cd220 | 0x3c00 | | 521 | blk.39.post_ffw_norm.weight | 0xfc3d0e20 | 0x3c00 | | 522 | blk.40.attn_k.weight | 0xfc3d4a20 | 0x339000 | | 523 | blk.40.attn_k_norm.weight | 0xfc70da20 | 0x400 | | 524 | blk.40.attn_norm.weight | 0xfc70de20 | 0x3c00 | | 525 | blk.40.attn_output.weight | 0xfc711a20 | 0x672000 | | 526 | blk.40.attn_q.weight | 0xfcd83a20 | 0x672000 | | 527 | blk.40.attn_q_norm.weight | 0xfd3f5a20 | 0x400 | | 528 | blk.40.attn_v.weight | 0xfd3f5e20 | 0x339000 | | 529 | blk.40.ffn_down.weight | 0xfd72ee20 | 0x1fa4000 | | 530 | blk.40.ffn_gate.weight | 0xff6d2e20 | 0x182b800 | | 531 | blk.40.ffn_norm.weight | 0x100efe620 | 0x3c00 | | 532 | blk.40.ffn_up.weight | 0x100f02220 | 0x182b800 | | 533 | blk.40.post_attention_norm.weight | 0x10272da20 | 0x3c00 | | 534 | blk.40.post_ffw_norm.weight | 0x102731620 | 0x3c00 | | 535 | blk.41.attn_k.weight | 0x102735220 | 0x276000 | | 536 | blk.41.attn_k_norm.weight | 0x1029ab220 | 0x400 | | 537 | blk.41.attn_norm.weight | 0x1029ab620 | 0x3c00 | | 538 | blk.41.attn_output.weight | 0x1029af220 | 0x672000 | | 539 | blk.41.attn_q.weight | 0x103021220 | 0x4ec000 | | 540 | blk.41.attn_q_norm.weight | 0x10350d220 | 0x400 | | 541 | blk.41.attn_v.weight | 0x10350d620 | 0x339000 | | 542 | blk.41.ffn_down.weight | 0x103846620 | 0x1fa4000 | | 543 | blk.41.ffn_gate.weight | 0x1057ea620 | 0x1275000 | | 544 | blk.41.ffn_norm.weight | 0x106a5f620 | 0x3c00 | | 545 | blk.41.ffn_up.weight | 0x106a63220 | 0x1275000 | | 546 | blk.41.post_attention_norm.weight | 0x107cd8220 | 0x3c00 | | 547 | blk.41.post_ffw_norm.weight | 0x107cdbe20 | 0x3c00 | | 548 | blk.42.attn_k.weight | 0x107cdfa20 | 0x276000 | | 549 | blk.42.attn_k_norm.weight | 0x107f55a20 | 0x400 | | 550 | blk.42.attn_norm.weight | 0x107f55e20 | 0x3c00 | | 551 | blk.42.attn_output.weight | 0x107f59a20 | 0x672000 | | 552 | blk.42.attn_q.weight | 0x1085cba20 | 0x4ec000 | | 553 | blk.42.attn_q_norm.weight | 0x108ab7a20 | 0x400 | | 554 | blk.42.attn_v.weight | 0x108ab7e20 | 0x339000 | | 555 | blk.42.ffn_down.weight | 0x108df0e20 | 0x1fa4000 | | 556 | blk.42.ffn_gate.weight | 0x10ad94e20 | 0x1275000 | | 557 | blk.42.ffn_norm.weight | 0x10c009e20 | 0x3c00 | | 558 | blk.42.ffn_up.weight | 0x10c00da20 | 0x1275000 | | 559 | blk.42.post_attention_norm.weight | 0x10d282a20 | 0x3c00 | | 560 | blk.42.post_ffw_norm.weight | 0x10d286620 | 0x3c00 | | 561 | blk.43.attn_k.weight | 0x10d28a220 | 0x276000 | | 562 | blk.43.attn_k_norm.weight | 0x10d500220 | 0x400 | | 563 | blk.43.attn_norm.weight | 0x10d500620 | 0x3c00 | | 564 | blk.43.attn_output.weight | 0x10d504220 | 0x672000 | | 565 | blk.43.attn_q.weight | 0x10db76220 | 0x4ec000 | | 566 | blk.43.attn_q_norm.weight | 0x10e062220 | 0x400 | | 567 | blk.43.attn_v.weight | 0x10e062620 | 0x339000 | | 568 | blk.43.ffn_down.weight | 0x10e39b620 | 0x1fa4000 | | 569 | blk.43.ffn_gate.weight | 0x11033f620 | 0x1275000 | | 570 | blk.43.ffn_norm.weight | 0x1115b4620 | 0x3c00 | | 571 | blk.43.ffn_up.weight | 0x1115b8220 | 0x1275000 | | 572 | blk.43.post_attention_norm.weight | 0x11282d220 | 0x3c00 | | 573 | blk.43.post_ffw_norm.weight | 0x112830e20 | 0x3c00 | | 574 | blk.44.attn_k.weight | 0x112834a20 | 0x339000 | | 575 | blk.44.attn_k_norm.weight | 0x112b6da20 | 0x400 | | 576 | blk.44.attn_norm.weight | 0x112b6de20 | 0x3c00 | | 577 | blk.44.attn_output.weight | 0x112b71a20 | 0x672000 | | 578 | blk.44.attn_q.weight | 0x1131e3a20 | 0x672000 | | 579 | blk.44.attn_q_norm.weight | 0x113855a20 | 0x400 | | 580 | blk.44.attn_v.weight | 0x113855e20 | 0x339000 | | 581 | blk.44.ffn_down.weight | 0x113b8ee20 | 0x1fa4000 | | 582 | blk.44.ffn_gate.weight | 0x115b32e20 | 0x182b800 | | 583 | blk.44.ffn_norm.weight | 0x11735e620 | 0x3c00 | | 584 | blk.44.ffn_up.weight | 0x117362220 | 0x182b800 | | 585 | blk.44.post_attention_norm.weight | 0x118b8da20 | 0x3c00 | | 586 | blk.44.post_ffw_norm.weight | 0x118b91620 | 0x3c00 | | 587 | blk.45.attn_k.weight | 0x118b95220 | 0x339000 | | 588 | blk.45.attn_k_norm.weight | 0x118ece220 | 0x400 | | 589 | blk.45.attn_norm.weight | 0x118ece620 | 0x3c00 | | 590 | blk.45.attn_output.weight | 0x118ed2220 | 0x672000 | | 591 | blk.45.attn_q.weight | 0x119544220 | 0x672000 | | 592 | blk.45.attn_q_norm.weight | 0x119bb6220 | 0x400 | | 593 | blk.45.attn_v.weight | 0x119bb6620 | 0x339000 | | 594 | blk.45.ffn_down.weight | 0x119eef620 | 0x1fa4000 | | 595 | blk.45.ffn_gate.weight | 0x11be93620 | 0x182b800 | | 596 | blk.45.ffn_norm.weight | 0x11d6bee20 | 0x3c00 | | 597 | blk.45.ffn_up.weight | 0x11d6c2a20 | 0x182b800 | | 598 | blk.45.post_attention_norm.weight | 0x11eeee220 | 0x3c00 | | 599 | blk.45.post_ffw_norm.weight | 0x11eef1e20 | 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 | Q2_K | - 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 | Q3_K | | 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 | Q3_K | | 6 | blk.0.attn_q.weight | Block 0 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 9 | blk.0.ffn_down.weight | Block 0 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 10 | blk.0.ffn_gate.weight | Block 0 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 19 | blk.1.attn_q.weight | Block 1 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 22 | blk.1.ffn_down.weight | Block 1 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 23 | blk.1.ffn_gate.weight | Block 1 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 32 | blk.2.attn_q.weight | Block 2 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 35 | blk.2.ffn_down.weight | Block 2 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 36 | blk.2.ffn_gate.weight | Block 2 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 45 | blk.3.attn_q.weight | Block 3 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 48 | blk.3.ffn_down.weight | Block 3 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 49 | blk.3.ffn_gate.weight | Block 3 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 58 | blk.4.attn_q.weight | Block 4 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 61 | blk.4.ffn_down.weight | Block 4 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 62 | blk.4.ffn_gate.weight | Block 4 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 71 | blk.5.attn_q.weight | Block 5 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 74 | blk.5.ffn_down.weight | Block 5 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 75 | blk.5.ffn_gate.weight | Block 5 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 84 | blk.6.attn_q.weight | Block 6 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 87 | blk.6.ffn_down.weight | Block 6 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 88 | blk.6.ffn_gate.weight | Block 6 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 97 | blk.7.attn_q.weight | Block 7 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 100 | blk.7.ffn_down.weight | Block 7 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 101 | blk.7.ffn_gate.weight | Block 7 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 110 | blk.8.attn_q.weight | Block 8 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 113 | blk.8.ffn_down.weight | Block 8 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 114 | blk.8.ffn_gate.weight | Block 8 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 123 | blk.9.attn_q.weight | Block 9 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 126 | blk.9.ffn_down.weight | Block 9 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 127 | blk.9.ffn_gate.weight | Block 9 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 136 | blk.10.attn_q.weight | Block 10 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 139 | blk.10.ffn_down.weight | Block 10 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 140 | blk.10.ffn_gate.weight | Block 10 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q2_K | | 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 | Q3_K | | 149 | blk.11.attn_q.weight | Block 11 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 152 | blk.11.ffn_down.weight | Block 11 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 153 | blk.11.ffn_gate.weight | Block 11 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 162 | blk.12.attn_q.weight | Block 12 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 165 | blk.12.ffn_down.weight | Block 12 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 166 | blk.12.ffn_gate.weight | Block 12 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 175 | blk.13.attn_q.weight | Block 13 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 178 | blk.13.ffn_down.weight | Block 13 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 179 | blk.13.ffn_gate.weight | Block 13 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 188 | blk.14.attn_q.weight | Block 14 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 191 | blk.14.ffn_down.weight | Block 14 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 192 | blk.14.ffn_gate.weight | Block 14 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 201 | blk.15.attn_q.weight | Block 15 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 204 | blk.15.ffn_down.weight | Block 15 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 205 | blk.15.ffn_gate.weight | Block 15 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 214 | blk.16.attn_q.weight | Block 16 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 217 | blk.16.ffn_down.weight | Block 16 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 218 | blk.16.ffn_gate.weight | Block 16 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 227 | blk.17.attn_q.weight | Block 17 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 230 | blk.17.ffn_down.weight | Block 17 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 231 | blk.17.ffn_gate.weight | Block 17 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 240 | blk.18.attn_q.weight | Block 18 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 243 | blk.18.ffn_down.weight | Block 18 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 244 | blk.18.ffn_gate.weight | Block 18 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 253 | blk.19.attn_q.weight | Block 19 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 256 | blk.19.ffn_down.weight | Block 19 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 257 | blk.19.ffn_gate.weight | Block 19 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 266 | blk.20.attn_q.weight | Block 20 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 269 | blk.20.ffn_down.weight | Block 20 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 270 | blk.20.ffn_gate.weight | Block 20 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 279 | blk.21.attn_q.weight | Block 21 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 282 | blk.21.ffn_down.weight | Block 21 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 283 | blk.21.ffn_gate.weight | Block 21 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 292 | blk.22.attn_q.weight | Block 22 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 295 | blk.22.ffn_down.weight | Block 22 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 296 | blk.22.ffn_gate.weight | Block 22 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 305 | blk.23.attn_q.weight | Block 23 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 308 | blk.23.ffn_down.weight | Block 23 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 309 | blk.23.ffn_gate.weight | Block 23 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 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 | Q3_K | | 318 | blk.24.attn_q.weight | Block 24 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 321 | blk.24.ffn_down.weight | Block 24 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 322 | blk.24.ffn_gate.weight | Block 24 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q2_K | | 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 | Q3_K | | 331 | blk.25.attn_q.weight | Block 25 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 334 | blk.25.ffn_down.weight | Block 25 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 335 | blk.25.ffn_gate.weight | Block 25 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 344 | blk.26.attn_q.weight | Block 26 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 347 | blk.26.ffn_down.weight | Block 26 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 348 | blk.26.ffn_gate.weight | Block 26 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 357 | blk.27.attn_q.weight | Block 27 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 360 | blk.27.ffn_down.weight | Block 27 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 361 | blk.27.ffn_gate.weight | Block 27 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 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 | Q3_K | | 370 | blk.28.attn_q.weight | Block 28 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 373 | blk.28.ffn_down.weight | Block 28 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 374 | blk.28.ffn_gate.weight | Block 28 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q2_K | | 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 | Q3_K | | 383 | blk.29.attn_q.weight | Block 29 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 386 | blk.29.ffn_down.weight | Block 29 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 387 | blk.29.ffn_gate.weight | Block 29 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 396 | blk.30.attn_q.weight | Block 30 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 399 | blk.30.ffn_down.weight | Block 30 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 400 | blk.30.ffn_gate.weight | Block 30 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 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 | Q3_K | | 409 | blk.31.attn_q.weight | Block 31 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 412 | blk.31.ffn_down.weight | Block 31 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 413 | blk.31.ffn_gate.weight | Block 31 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 422 | blk.32.attn_q.weight | Block 32 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 425 | blk.32.ffn_down.weight | Block 32 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 426 | blk.32.ffn_gate.weight | Block 32 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 435 | blk.33.attn_q.weight | Block 33 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 438 | blk.33.ffn_down.weight | Block 33 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 439 | blk.33.ffn_gate.weight | Block 33 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 448 | blk.34.attn_q.weight | Block 34 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 451 | blk.34.ffn_down.weight | Block 34 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 452 | blk.34.ffn_gate.weight | Block 34 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q2_K | | 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 | Q3_K | | 461 | blk.35.attn_q.weight | Block 35 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 464 | blk.35.ffn_down.weight | Block 35 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 465 | blk.35.ffn_gate.weight | Block 35 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 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 | Q3_K | | 474 | blk.36.attn_q.weight | Block 36 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 477 | blk.36.ffn_down.weight | Block 36 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 478 | blk.36.ffn_gate.weight | Block 36 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 487 | blk.37.attn_q.weight | Block 37 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 490 | blk.37.ffn_down.weight | Block 37 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 491 | blk.37.ffn_gate.weight | Block 37 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 500 | blk.38.attn_q.weight | Block 38 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 503 | blk.38.ffn_down.weight | Block 38 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 504 | blk.38.ffn_gate.weight | Block 38 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 513 | blk.39.attn_q.weight | Block 39 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 516 | blk.39.ffn_down.weight | Block 39 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 517 | blk.39.ffn_gate.weight | Block 39 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 526 | blk.40.attn_q.weight | Block 40 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 529 | blk.40.ffn_down.weight | Block 40 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 530 | blk.40.ffn_gate.weight | Block 40 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q2_K | | 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 | Q3_K | | 539 | blk.41.attn_q.weight | Block 41 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 542 | blk.41.ffn_down.weight | Block 41 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 543 | blk.41.ffn_gate.weight | Block 41 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 552 | blk.42.attn_q.weight | Block 42 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 555 | blk.42.ffn_down.weight | Block 42 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 556 | blk.42.ffn_gate.weight | Block 42 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 565 | blk.43.attn_q.weight | Block 43 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q2_K | | 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 | Q3_K | | 568 | blk.43.ffn_down.weight | Block 43 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 569 | blk.43.ffn_gate.weight | Block 43 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q2_K | | 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 | Q2_K | | 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 | Q3_K | | 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 | Q3_K | | 578 | blk.44.attn_q.weight | Block 44 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 581 | blk.44.ffn_down.weight | Block 44 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 582 | blk.44.ffn_gate.weight | Block 44 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 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 | Q3_K | | 591 | blk.45.attn_q.weight | Block 45 Attention Query (W) | (~16M) 15728640 | 3840 x 4096 x 1 x 1 | Q3_K | | 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 | Q3_K | | 594 | blk.45.ffn_down.weight | Block 45 Feed-Forward Network "Down" (W) | (~59M) 58982400 | 15360 x 3840 x 1 x 1 | Q4_K | | 595 | blk.45.ffn_gate.weight | Block 45 Feed-Forward Network "Gate" (W) | (~59M) 58982400 | 3840 x 15360 x 1 x 1 | Q3_K | | 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 | Q3_K | | 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%